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Fix errors in 04
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‎machine-learning/04-Model Evaluation.ipynb‎

Lines changed: 33 additions & 35 deletions
Original file line numberDiff line numberDiff line change
@@ -89,6 +89,22 @@
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},
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"execution_count": 1,
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"metadata": {}
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},
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{
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"output_type": "execute_result",
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"data": {
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"text/markdown": "Loading extensions from `Microsoft.Data.Analysis.Interactive.dll`"
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},
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"execution_count": 1,
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"metadata": {}
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},
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{
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"output_type": "execute_result",
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"data": {
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"text/markdown": "Loading extensions from `Microsoft.ML.AutoML.Interactive.dll`"
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},
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"execution_count": 1,
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"metadata": {}
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}
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]
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},
@@ -188,7 +204,7 @@
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{
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"output_type": "execute_result",
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"data": {
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"text/html": "<table id=\"table_637928798481033298\"><thead><tr><th><i>index</i></th><th>vendor_id</th><th>rate_code</th><th>passenger_count</th><th>trip_time_in_secs</th><th>trip_distance</th><th>payment_type</th><th>fare_amount</th></tr></thead><tbody><tr><td><i><div class=\"dni-plaintext\">0</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1271</div></td><td><div class=\"dni-plaintext\">3.8</div></td><td>CRD</td><td><div class=\"dni-plaintext\">17.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">1</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">474</div></td><td><div class=\"dni-plaintext\">1.5</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8</div></td></tr><tr><td><i><div class=\"dni-plaintext\">2</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">637</div></td><td><div class=\"dni-plaintext\">1.4</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">3</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">181</div></td><td><div class=\"dni-plaintext\">0.6</div></td><td>CSH</td><td><div class=\"dni-plaintext\">4.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">4</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">661</div></td><td><div class=\"dni-plaintext\">1.1</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr></tbody></table>"
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"text/html": "<table id=\"table_637928803371228110\"><thead><tr><th><i>index</i></th><th>vendor_id</th><th>rate_code</th><th>passenger_count</th><th>trip_time_in_secs</th><th>trip_distance</th><th>payment_type</th><th>fare_amount</th></tr></thead><tbody><tr><td><i><div class=\"dni-plaintext\">0</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1271</div></td><td><div class=\"dni-plaintext\">3.8</div></td><td>CRD</td><td><div class=\"dni-plaintext\">17.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">1</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">474</div></td><td><div class=\"dni-plaintext\">1.5</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8</div></td></tr><tr><td><i><div class=\"dni-plaintext\">2</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">637</div></td><td><div class=\"dni-plaintext\">1.4</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">3</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">181</div></td><td><div class=\"dni-plaintext\">0.6</div></td><td>CSH</td><td><div class=\"dni-plaintext\">4.5</div></td></tr><tr><td><i><div class=\"dni-plaintext\">4</div></i></td><td>CMT</td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">1</div></td><td><div class=\"dni-plaintext\">661</div></td><td><div class=\"dni-plaintext\">1.1</div></td><td>CRD</td><td><div class=\"dni-plaintext\">8.5</div></td></tr></tbody></table>"
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},
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"execution_count": 1,
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"metadata": {}
@@ -377,7 +393,7 @@
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": "R-Squared: 0.9464493325108942"
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"text/plain": "R-Squared: 0.9329530384286037"
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},
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"execution_count": 1,
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"metadata": {}
@@ -405,16 +421,7 @@
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"ITransformer bestModel = result.Model;\n",
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"var predictions = bestModel.Transform(testSet);"
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],
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"outputs": [
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{
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"output_type": "error",
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"ename": "",
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"evalue": "(1,26): error CS0103: The name 'result' does not exist in the current context",
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"traceback": [
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null
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]
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}
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]
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -444,12 +451,12 @@
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],
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"outputs": [
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{
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"output_type": "error",
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"ename": "",
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"evalue": "(1,14): error CS0103: The name 'predictions' does not exist in the current context\r\n(2,17): error CS0103: The name 'predictions' does not exist in the current context",
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"traceback": [
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null
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]
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"output_type": "execute_result",
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"data": {
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"text/html": "<table><thead><tr><th><i>index</i></th><th>Actual</th><th>Predicted</th><th>Difference</th></tr></thead><tbody><tr><td>0</td><td><div class=\"dni-plaintext\">24.5</div></td><td><div class=\"dni-plaintext\">23.087162</div></td><td><div class=\"dni-plaintext\">1.412838</div></td></tr><tr><td>1</td><td><div class=\"dni-plaintext\">9.5</div></td><td><div class=\"dni-plaintext\">8.993666</div></td><td><div class=\"dni-plaintext\">0.5063343</div></td></tr><tr><td>2</td><td><div class=\"dni-plaintext\">4.5</div></td><td><div class=\"dni-plaintext\">4.808011</div></td><td><div class=\"dni-plaintext\">-0.30801105</div></td></tr><tr><td>3</td><td><div class=\"dni-plaintext\">8</div></td><td><div class=\"dni-plaintext\">7.994398</div></td><td><div class=\"dni-plaintext\">0.005601883</div></td></tr><tr><td>4</td><td><div class=\"dni-plaintext\">52</div></td><td><div class=\"dni-plaintext\">52.039684</div></td><td><div class=\"dni-plaintext\">-0.039684296</div></td></tr></tbody></table>"
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},
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"execution_count": 1,
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"metadata": {}
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}
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]
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},
@@ -473,16 +480,7 @@
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"source": [
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"var evaluationMetrics = mlContext.Regression.Evaluate(predictions,\"fare_amount\", \"Score\");"
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],
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"outputs": [
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{
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"output_type": "error",
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"ename": "",
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"evalue": "(1,55): error CS0103: The name 'predictions' does not exist in the current context",
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"traceback": [
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null
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]
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}
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]
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -504,12 +502,12 @@
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],
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"outputs": [
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{
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"output_type": "error",
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"ename": "",
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"evalue": "(1,1): error CS0103: The name 'evaluationMetrics' does not exist in the current context",
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"traceback": [
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null
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]
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"output_type": "execute_result",
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"data": {
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"text/html": "<table><thead><tr><th>MeanAbsoluteError</th><th>MeanSquaredError</th><th>RootMeanSquaredError</th><th>LossFunction</th><th>RSquared</th></tr></thead><tbody><tr><td><div class=\"dni-plaintext\">0.6107270253580241</div></td><td><div class=\"dni-plaintext\">6.673910566709432</div></td><td><div class=\"dni-plaintext\">2.58339129183123</div></td><td><div class=\"dni-plaintext\">6.673910534194763</div></td><td><div class=\"dni-plaintext\">0.9277130209892651</div></td></tr></tbody></table>"
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},
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"execution_count": 1,
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"metadata": {}
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}
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]
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},
@@ -923,7 +921,7 @@
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{
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"output_type": "execute_result",
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"data": {
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"text/html": "<table><thead><tr><th><i>index</i></th><th>Key</th><th>Value</th></tr></thead><tbody><tr><td>0</td><td>vendor_id.Bit2</td><td><div class=\"dni-plaintext\">-0.5104744479840272</div></td></tr><tr><td>1</td><td>vendor_id.Bit1</td><td><div class=\"dni-plaintext\">-0.20936483057533636</div></td></tr><tr><td>2</td><td>vendor_id.Bit0</td><td><div class=\"dni-plaintext\">-0.2047232040257242</div></td></tr><tr><td>3</td><td>payment_type.Bit3</td><td><div class=\"dni-plaintext\">-0.0014248261496426033</div></td></tr><tr><td>4</td><td>payment_type.Bit2</td><td><div class=\"dni-plaintext\">-0.000539686827320122</div></td></tr><tr><td>5</td><td>payment_type.Bit1</td><td><div class=\"dni-plaintext\">-0.00015086796489605092</div></td></tr><tr><td>6</td><td>payment_type.Bit0</td><td><div class=\"dni-plaintext\">-6.684509144731325E-05</div></td></tr><tr><td>7</td><td>rate_code</td><td><div class=\"dni-plaintext\">-5.365214601112575E-07</div></td></tr><tr><td>8</td><td>passenger_count</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>9</td><td>trip_time_in_secs</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>10</td><td>trip_distance</td><td><div class=\"dni-plaintext\">0</div></td></tr></tbody></table>"
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"text/html": "<table><thead><tr><th><i>index</i></th><th>Key</th><th>Value</th></tr></thead><tbody><tr><td>0</td><td>vendor_id.Bit2</td><td><div class=\"dni-plaintext\">-0.5103167076996584</div></td></tr><tr><td>1</td><td>vendor_id.Bit1</td><td><div class=\"dni-plaintext\">-0.20920573710951015</div></td></tr><tr><td>2</td><td>vendor_id.Bit0</td><td><div class=\"dni-plaintext\">-0.20524726245559932</div></td></tr><tr><td>3</td><td>payment_type.Bit3</td><td><div class=\"dni-plaintext\">-0.0013735609832817113</div></td></tr><tr><td>4</td><td>payment_type.Bit2</td><td><div class=\"dni-plaintext\">-0.0005371983420188927</div></td></tr><tr><td>5</td><td>payment_type.Bit1</td><td><div class=\"dni-plaintext\">-0.00015402329111213753</div></td></tr><tr><td>6</td><td>payment_type.Bit0</td><td><div class=\"dni-plaintext\">-7.256291485776185E-05</div></td></tr><tr><td>7</td><td>rate_code</td><td><div class=\"dni-plaintext\">-5.605438192501921E-07</div></td></tr><tr><td>8</td><td>passenger_count</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>9</td><td>trip_time_in_secs</td><td><div class=\"dni-plaintext\">0</div></td></tr><tr><td>10</td><td>trip_distance</td><td><div class=\"dni-plaintext\">0</div></td></tr></tbody></table>"
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},
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"execution_count": 1,
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"metadata": {}

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