10287366
8323
Heinrich Peters
9985
Supervised Classification
12736
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8168706
l2_regularization
10.0
12677
learning_rate
1.0
12677
loss
"auto"
12677
max_bins
8
12677
max_depth
18
12677
max_iter
350
12677
max_leaf_nodes
16
12677
min_samples_leaf
29
12677
n_iter_no_change
null
12677
random_state
10387
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
12677
verbose
0
12677
memory
null
12736
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}]
12736
verbose
false
12736
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
openml-python
Sklearn_0.21.2.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21496244
description
https://api.openml.org/data/download/21496244/description.xml
-1
21496245
predictions
https://api.openml.org/data/download/21496245/predictions.arff
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average_cost
0
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0.5979426913020305 [0.485185,0.409344,0.482851,0.408795,0.416382,0.805671]
kappa
0.4663914152756393
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0.47594913432026537
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0.14390516720191707
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0.2507645736611627
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precision
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predictive_accuracy
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relative_absolute_error
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total_cost
0
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.8368519403862125 [0.782051,0.791659,0.820298,0.818666,0.799223,0.8874]
area_under_roc_curve
0.8549759909860964 [0.782926,0.837913,0.858461,0.766996,0.83978,0.912543]
area_under_roc_curve
0.841213719197935 [0.771455,0.80101,0.817836,0.777094,0.845408,0.899565]
area_under_roc_curve
0.8489158830343703 [0.796045,0.839421,0.81407,0.758942,0.827584,0.909969]
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0
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0
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0
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0
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0
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0
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0
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0
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0
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f_measure
0.6524552711286378 [0.595349,0.376471,0.594595,0.45,0.496241,0.833652]
f_measure
0.5933293474362691 [0.434389,0.357895,0.478873,0.448598,0.406504,0.820896]
f_measure
0.6035389359472932 [0.495238,0.430108,0.516129,0.396694,0.413793,0.805293]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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mean_absolute_error
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mean_prior_absolute_error
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precision
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precision
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precision
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precision
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precision
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precision
0.6130779077273454 [0.53211,0.527778,0.507246,0.430769,0.5,0.767025]
precision
0.5492036832817135 [0.418033,0.454545,0.430556,0.363636,0.384615,0.743494]
precision
0.6217228777244629 [0.526316,0.511111,0.529412,0.397059,0.491228,0.795699]
precision
0.5691085086169055 [0.431193,0.391304,0.418919,0.389831,0.442308,0.778598]
precision
0.6018254610579595 [0.541667,0.468085,0.478873,0.390625,0.5,0.763441]
predictive_accuracy
0.5816993464052288
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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recall
0.5816993464052288 [0.477064,0.25,0.5,0.370968,0.31746,0.828125]
recall
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recall
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recall
0.6094771241830066 [0.477064,0.408163,0.533333,0.387097,0.387097,0.835294]
recall
0.5882352941176471 [0.458716,0.346939,0.493333,0.419355,0.354839,0.815686]
recall
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recall
0.5571895424836601 [0.46789,0.408163,0.413333,0.387097,0.241935,0.784314]
recall
0.630718954248366 [0.458716,0.469388,0.48,0.442623,0.451613,0.867188]
recall
0.5777414075286416 [0.431193,0.375,0.413333,0.377049,0.370968,0.824219]
recall
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relative_absolute_error
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