10229805
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)
8154827
l2_regularization
1e-07
12677
learning_rate
0.01
12677
loss
"auto"
12677
max_bins
64
12677
max_depth
7
12677
max_iter
350
12677
max_leaf_nodes
128
12677
min_samples_leaf
19
12677
n_iter_no_change
null
12677
random_state
16970
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
21381054
description
https://api.openml.org/data/download/21381054/description.xml
-1
21381055
predictions
https://api.openml.org/data/download/21381055/predictions.arff
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average_cost
0
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0.5959100533408552 [0.478847,0.412422,0.496434,0.411283,0.423818,0.796523]
kappa
0.4642860775544939
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0.39841414076903947
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0.17549511317562666
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0.2507645736611627
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6118 [1089,486,748,617,624,2554]
precision
0.5916351009126798 [0.484934,0.520376,0.53211,0.46888,0.467181,0.728187]
predictive_accuracy
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relative_absolute_error
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total_cost
0
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area_under_roc_curve
0.8687665511226224 [0.802989,0.84268,0.87789,0.843431,0.815279,0.918378]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.8748676629563352 [0.793706,0.878802,0.874463,0.827467,0.864985,0.922478]
area_under_roc_curve
0.8628906922598819 [0.808272,0.86549,0.835236,0.801118,0.836139,0.914959]
area_under_roc_curve
0.8630582037946875 [0.826172,0.829096,0.835032,0.779523,0.84014,0.918778]
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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
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f_measure
0.5896591743421251 [0.472727,0.266667,0.560606,0.43299,0.390244,0.797153]
f_measure
0.5988067121246299 [0.458537,0.395349,0.585034,0.345455,0.454545,0.798587]
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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kb_relative_information_score
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kb_relative_information_score
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mean_absolute_error
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mean_absolute_error
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precision
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precision
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precision
0.5908940571987437 [0.464286,0.292683,0.649123,0.6,0.4,0.729642]
precision
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precision
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precision
0.5926272541294714 [0.485981,0.548387,0.514706,0.461538,0.5,0.724026]
precision
0.5969718193717003 [0.491803,0.588235,0.5,0.458333,0.534884,0.72093]
precision
0.6018850106735261 [0.435185,0.592593,0.584615,0.454545,0.510204,0.737013]
precision
0.5633380983239685 [0.45098,0.571429,0.483333,0.42,0.361702,0.716088]
precision
0.5927576019840748 [0.516129,0.517241,0.515152,0.384615,0.47619,0.74026]
predictive_accuracy
0.6094771241830066
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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
2.2965513970017746
recall
0.6094771241830066 [0.495413,0.1875,0.432432,0.387097,0.396825,0.894531]
recall
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recall
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recall
0.6160130718954249 [0.431193,0.346939,0.573333,0.306452,0.403226,0.886275]
recall
0.6078431372549019 [0.46789,0.428571,0.426667,0.403226,0.387097,0.858824]
recall
0.6111111111111112 [0.477064,0.346939,0.466667,0.387097,0.370968,0.87451]
recall
0.6111111111111112 [0.550459,0.408163,0.426667,0.354839,0.370968,0.85098]
recall
0.6176470588235294 [0.431193,0.326531,0.506667,0.409836,0.403226,0.886719]
recall
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recall
0.613747954173486 [0.440367,0.3125,0.459459,0.327869,0.47619,0.890625]
relative_absolute_error
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relative_absolute_error
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