update notes
This commit is contained in:
Morten Hjorth-Jensen
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"source": [
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"## ROC curve\n",
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"\n",
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"A receiver operating characteristic curve, or ROC curve, is a\n",
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"graphical plot that illustrates the performance of a binary classifier\n",
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"model at varying threshold values.\n",
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"\n",
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"The ROC curve is the plot of the true positive rate (TPR) against the false positive rate (FPR) at each threshold setting.\n",
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"See <https://en.wikipedia.org/wiki/Receiver_operating_characteristic> for more discussions."
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]
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"source": [
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"## Cumulative gain curve\n",
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"\n",
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"The cumulative gain curve is a performance evaluation used typically for binary classification problems.\n",
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"It plots the $TPR$ True Positive Rate or Sensitivity (which represents the \n",
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"fraction of examples correctly classified\n",
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"against Predictive Positive Rate, which represents \n",
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"the fraction of positively predicted examples."
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]
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File diff suppressed because one or more lines are too long
@@ -489,6 +489,16 @@ const thebe_selector_output = ".output, .cell_output"
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Other measures in classification studies: Cancer Data again
|
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</a>
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</li>
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||||
<li class="toc-h2 nav-item toc-entry">
|
||||
<a class="reference internal nav-link" href="#roc-curve">
|
||||
ROC curve
|
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</a>
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</li>
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||||
<li class="toc-h2 nav-item toc-entry">
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||||
<a class="reference internal nav-link" href="#cumulative-gain-curve">
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||||
Cumulative gain curve
|
||||
</a>
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||||
</li>
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||||
<li class="toc-h2 nav-item toc-entry">
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||||
<a class="reference internal nav-link" href="#material-for-lecture-thursday-november-9">
|
||||
Material for Lecture Thursday November 9
|
||||
@@ -658,6 +668,16 @@ const thebe_selector_output = ".output, .cell_output"
|
||||
Other measures in classification studies: Cancer Data again
|
||||
</a>
|
||||
</li>
|
||||
<li class="toc-h2 nav-item toc-entry">
|
||||
<a class="reference internal nav-link" href="#roc-curve">
|
||||
ROC curve
|
||||
</a>
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||||
</li>
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||||
<li class="toc-h2 nav-item toc-entry">
|
||||
<a class="reference internal nav-link" href="#cumulative-gain-curve">
|
||||
Cumulative gain curve
|
||||
</a>
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||||
</li>
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||||
<li class="toc-h2 nav-item toc-entry">
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||||
<a class="reference internal nav-link" href="#material-for-lecture-thursday-november-9">
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||||
Material for Lecture Thursday November 9
|
||||
@@ -999,7 +1019,7 @@ case under study.</p>
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||||
</div>
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||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>RandomizedSearchCV(estimator=Ridge(), n_iter=100,
|
||||
param_distributions={'alpha': <scipy.stats._distn_infrastructure.rv_frozen object at 0x168f3fca0>})
|
||||
param_distributions={'alpha': <scipy.stats._distn_infrastructure.rv_frozen object at 0x105b84cd0>})
|
||||
Best estimated lambda-value: 0.9849967686928113
|
||||
MSE score: 1.0853136633465326
|
||||
R2 score: -0.0002382102844775691
|
||||
@@ -1177,9 +1197,6 @@ applications. This will be discussed later this semester (<a class="reference ex
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||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(426, 30)
|
||||
(143, 30)
|
||||
[1. 0.86666667 1. 0.92857143 1. 0.85714286
|
||||
1. 0.92857143 0.92857143 1. ]
|
||||
Test set accuracy with Logistic Regression: 0.94
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):
|
||||
@@ -1272,12 +1289,33 @@ Please also refer to the documentation for alternative solver options:
|
||||
n_iter_i = _check_optimize_result(
|
||||
</pre></div>
|
||||
</div>
|
||||
<img alt="_images/week45_22_2.png" src="_images/week45_22_2.png" />
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[1. 0.86666667 1. 0.92857143 1. 0.85714286
|
||||
1. 0.92857143 0.92857143 1. ]
|
||||
Test set accuracy with Logistic Regression: 0.94
|
||||
</pre></div>
|
||||
</div>
|
||||
<img alt="_images/week45_22_3.png" src="_images/week45_22_3.png" />
|
||||
<img alt="_images/week45_22_4.png" src="_images/week45_22_4.png" />
|
||||
<img alt="_images/week45_22_5.png" src="_images/week45_22_5.png" />
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="section" id="roc-curve">
|
||||
<h2>ROC curve<a class="headerlink" href="#roc-curve" title="Permalink to this headline">¶</a></h2>
|
||||
<p>A receiver operating characteristic curve, or ROC curve, is a
|
||||
graphical plot that illustrates the performance of a binary classifier
|
||||
model at varying threshold values.</p>
|
||||
<p>The ROC curve is the plot of the true positive rate (TPR) against the false positive rate (FPR) at each threshold setting.
|
||||
See <a class="reference external" href="https://en.wikipedia.org/wiki/Receiver_operating_characteristic">https://en.wikipedia.org/wiki/Receiver_operating_characteristic</a> for more discussions.</p>
|
||||
</div>
|
||||
<div class="section" id="cumulative-gain-curve">
|
||||
<h2>Cumulative gain curve<a class="headerlink" href="#cumulative-gain-curve" title="Permalink to this headline">¶</a></h2>
|
||||
<p>The cumulative gain curve is a performance evaluation used typically for binary classification problems.
|
||||
It plots the <span class="math notranslate nohighlight">\(TPR\)</span> True Positive Rate or Sensitivity (which represents the
|
||||
fraction of examples correctly classified
|
||||
against Predictive Positive Rate, which represents
|
||||
the fraction of positively predicted examples.</p>
|
||||
</div>
|
||||
<div class="section" id="material-for-lecture-thursday-november-9">
|
||||
<h2>Material for Lecture Thursday November 9<a class="headerlink" href="#material-for-lecture-thursday-november-9" title="Permalink to this headline">¶</a></h2>
|
||||
</div>
|
||||
@@ -1419,327 +1457,285 @@ systems such as automatic translation and speech-to-text.</p>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 1/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-06 06:26:15.664586: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz
|
||||
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-07 06:16:59.648382: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 3s - loss: 0.4727 - 3s/epoch - 66ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 3s - loss: 0.9885 - 3s/epoch - 66ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 2/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3966 - 471ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.4316 - 465ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 3/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3929 - 470ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.4150 - 494ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 4/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3901 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.4066 - 466ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 5/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3920 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.4037 - 497ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 6/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3910 - 469ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.4013 - 469ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 7/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3911 - 470ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3980 - 467ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 8/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3896 - 469ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3981 - 468ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 9/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3913 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3944 - 467ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 10/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3858 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3951 - 468ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 11/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3884 - 465ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3929 - 467ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 12/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3899 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3929 - 467ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 13/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3868 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3915 - 469ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 14/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3853 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3923 - 472ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 15/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3889 - 465ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3901 - 467ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 16/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3858 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3893 - 471ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 17/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3873 - 465ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3893 - 468ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 18/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3879 - 466ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3893 - 490ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 19/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3870 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3888 - 475ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 20/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3842 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3866 - 468ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 21/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3847 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3875 - 469ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 22/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3846 - 469ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3864 - 472ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 23/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3837 - 470ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3883 - 467ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 24/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3855 - 466ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3877 - 469ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 25/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3846 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3884 - 491ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 26/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3842 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3862 - 472ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 27/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3835 - 463ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3844 - 466ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 28/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3839 - 461ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3869 - 468ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 29/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3827 - 462ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3859 - 470ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 30/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3827 - 463ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3849 - 466ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 31/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3810 - 462ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3861 - 463ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 32/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3812 - 457ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3837 - 462ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 33/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3814 - 460ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3844 - 477ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 34/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3828 - 466ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3842 - 479ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 35/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3816 - 461ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3825 - 476ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 36/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3822 - 463ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3849 - 477ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 37/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3813 - 462ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3826 - 463ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 38/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3803 - 465ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3816 - 466ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 39/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3801 - 466ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 1s - loss: 0.3843 - 1s/epoch - 25ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 40/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3815 - 467ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 1s - loss: 0.3821 - 522ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 41/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3806 - 464ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3825 - 486ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 42/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3801 - 464ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3822 - 480ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 43/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3791 - 469ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 1s - loss: 0.3836 - 521ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 44/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3803 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 1s - loss: 0.3827 - 566ms/epoch - 11ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 45/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3779 - 468ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 1s - loss: 0.3815 - 504ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 46/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3776 - 466ms/epoch - 9ms/step
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 1s - loss: 0.3832 - 511ms/epoch - 10ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 47/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3778 - 472ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 48/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3790 - 465ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 49/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3750 - 466ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 50/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3782 - 468ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 51/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3773 - 469ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 52/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3768 - 466ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 53/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>50/50 - 0s - loss: 0.3760 - 467ms/epoch - 9ms/step
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Epoch 54/100
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
|
||||
<span class="ne">KeyboardInterrupt</span><span class="g g-Whitespace"> </span>Traceback (most recent call last)
|
||||
<span class="nn">Input In [9],</span> in <span class="ni"><cell line: 53></span><span class="nt">()</span>
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -373,6 +373,23 @@ skplt.metrics.plot_cumulative_gain(y_test, y_probas)
|
||||
plt.show()
|
||||
|
||||
|
||||
# ## ROC curve
|
||||
#
|
||||
# A receiver operating characteristic curve, or ROC curve, is a
|
||||
# graphical plot that illustrates the performance of a binary classifier
|
||||
# model at varying threshold values.
|
||||
#
|
||||
# The ROC curve is the plot of the true positive rate (TPR) against the false positive rate (FPR) at each threshold setting.
|
||||
# See <https://en.wikipedia.org/wiki/Receiver_operating_characteristic> for more discussions.
|
||||
|
||||
# ## Cumulative gain curve
|
||||
#
|
||||
# The cumulative gain curve is a performance evaluation used typically for binary classification problems.
|
||||
# It plots the $TPR$ True Positive Rate or Sensitivity (which represents the
|
||||
# fraction of examples correctly classified
|
||||
# against Predictive Positive Rate, which represents
|
||||
# the fraction of positively predicted examples.
|
||||
|
||||
# ## Material for Lecture Thursday November 9
|
||||
|
||||
# ## Recurrent neural networks (RNNs): Overarching view
|
||||
|
||||
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@@ -2,7 +2,7 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -14,7 +14,7 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -27,7 +27,7 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -67,7 +67,7 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -77,7 +77,7 @@
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -96,7 +96,7 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
@@ -153,7 +153,7 @@
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -165,7 +165,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "d15635eb",
|
||||
"id": "7c84429f",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -180,7 +180,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"id": "3587f6a6",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -233,7 +233,7 @@
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -248,7 +248,7 @@
|
||||
},
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
"metadata": {
|
||||
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|
||||
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|
||||
@@ -268,7 +268,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "04ba2582",
|
||||
"id": "5707b319",
|
||||
"metadata": {
|
||||
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|
||||
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|
||||
@@ -322,7 +322,7 @@
|
||||
},
|
||||
{
|
||||
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|
||||
"id": "e713b0d3",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -337,7 +337,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -364,7 +364,7 @@
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -378,7 +378,7 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -423,7 +423,7 @@
|
||||
},
|
||||
{
|
||||
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|
||||
"id": "e533f0d8",
|
||||
"id": "298800d9",
|
||||
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|
||||
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|
||||
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|
||||
@@ -448,7 +448,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
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|
||||
"id": "88a99e3b",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -460,7 +460,7 @@
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -471,7 +471,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -483,7 +483,7 @@
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -496,7 +496,7 @@
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -507,7 +507,7 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -550,7 +550,40 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "5f126f5b",
|
||||
"id": "b7a8eeb7",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
"source": [
|
||||
"## ROC curve\n",
|
||||
"\n",
|
||||
"A receiver operating characteristic curve, or ROC curve, is a\n",
|
||||
"graphical plot that illustrates the performance of a binary classifier\n",
|
||||
"model at varying threshold values.\n",
|
||||
"\n",
|
||||
"The ROC curve is the plot of the true positive rate (TPR) against the false positive rate (FPR) at each threshold setting.\n",
|
||||
"See <https://en.wikipedia.org/wiki/Receiver_operating_characteristic> for more discussions."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "6414e652",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
"source": [
|
||||
"## Cumulative gain curve\n",
|
||||
"\n",
|
||||
"The cumulative gain curve is a performance evaluation used typically for binary classification problems.\n",
|
||||
"It plots the $TPR$ True Positive Rate or Sensitivity (which represents the \n",
|
||||
"fraction of examples correctly classified\n",
|
||||
"against Predictive Positive Rate, which represents \n",
|
||||
"the fraction of positively predicted examples."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "7646c025",
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"metadata": {
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"editable": true
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},
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||||
@@ -560,7 +593,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
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"id": "bf47aea8",
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"id": "f7b4b23b",
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"metadata": {
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|
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||||
@@ -587,7 +620,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "43911e80",
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"id": "741bf972",
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"metadata": {
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|
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@@ -598,7 +631,7 @@
|
||||
{
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"cell_type": "code",
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||||
"execution_count": 9,
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"id": "93a5e85c",
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"id": "f9060416",
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"metadata": {
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"collapsed": false,
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"editable": true
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@@ -671,7 +704,7 @@
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||||
},
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||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "15c0abdc",
|
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"id": "e0342b0b",
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||||
"metadata": {
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"editable": true
|
||||
},
|
||||
@@ -691,7 +724,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e2c9969b",
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||||
"id": "58fdc710",
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"metadata": {
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"editable": true
|
||||
},
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||||
@@ -707,7 +740,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
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||||
"id": "bc82b4e6",
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||||
"id": "f793c129",
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||||
"metadata": {
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"editable": true
|
||||
},
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||||
@@ -729,7 +762,7 @@
|
||||
},
|
||||
{
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"cell_type": "markdown",
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"id": "c1dfa318",
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||||
"id": "b7446349",
|
||||
"metadata": {
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||||
"editable": true
|
||||
},
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||||
@@ -747,7 +780,7 @@
|
||||
},
|
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{
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"cell_type": "markdown",
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"id": "bce88bd1",
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||||
"id": "fac85e06",
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||||
"metadata": {
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||||
"editable": true
|
||||
},
|
||||
@@ -793,7 +826,7 @@
|
||||
},
|
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{
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"cell_type": "markdown",
|
||||
"id": "630c5765",
|
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"id": "7e3fbdb7",
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||||
"metadata": {
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||||
"editable": true
|
||||
},
|
||||
@@ -814,7 +847,7 @@
|
||||
},
|
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{
|
||||
"cell_type": "markdown",
|
||||
"id": "74a05e7a",
|
||||
"id": "f29008fb",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -875,7 +908,7 @@
|
||||
},
|
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{
|
||||
"cell_type": "markdown",
|
||||
"id": "ba29a00f",
|
||||
"id": "dedfb5dd",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -900,7 +933,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "4fb99b23",
|
||||
"id": "2abfa20e",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -919,7 +952,7 @@
|
||||
},
|
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{
|
||||
"cell_type": "markdown",
|
||||
"id": "640d0ffd",
|
||||
"id": "abc4dabb",
|
||||
"metadata": {
|
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"editable": true
|
||||
},
|
||||
@@ -943,7 +976,7 @@
|
||||
},
|
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{
|
||||
"cell_type": "markdown",
|
||||
"id": "0aa61a82",
|
||||
"id": "67e1ca86",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -1025,7 +1058,7 @@
|
||||
},
|
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{
|
||||
"cell_type": "markdown",
|
||||
"id": "05d59f36",
|
||||
"id": "bc04ebe9",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -1041,7 +1074,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "b1bf0cab",
|
||||
"id": "a5882cbb",
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"editable": true
|
||||
@@ -1080,7 +1113,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "c6095262",
|
||||
"id": "18221ec4",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -1124,7 +1157,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "9eebf739",
|
||||
"id": "d4982f3a",
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"editable": true
|
||||
@@ -1207,7 +1240,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "b1f61819",
|
||||
"id": "a146c2c5",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -1218,7 +1251,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "eed2466a",
|
||||
"id": "2f7691d6",
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"editable": true
|
||||
@@ -1320,7 +1353,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "71855b2c",
|
||||
"id": "618a775c",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -1342,7 +1375,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"id": "d1650ea8",
|
||||
"id": "5f955304",
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"editable": true
|
||||
@@ -1439,7 +1472,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "32c4c59c",
|
||||
"id": "ae8bb1a0",
|
||||
"metadata": {
|
||||
"editable": true
|
||||
},
|
||||
@@ -1465,7 +1498,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"id": "bbb48a15",
|
||||
"id": "701451d4",
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"editable": true
|
||||
|
||||
Reference in New Issue
Block a user