8784074
4009
Vishal Chouskey
9952
Supervised Classification
7694
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4)
6759391
categorical_features
[]
7256
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7256
handle_unknown
"ignore"
7256
n_values
"auto"
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sparse
true
7256
bootstrap
true
7257
class_weight
null
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criterion
"entropy"
7257
max_depth
null
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max_features
0.491457863991951
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max_leaf_nodes
null
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min_impurity_split
1e-07
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min_samples_leaf
5
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min_samples_split
2
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min_weight_fraction_leaf
0.0
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n_estimators
10
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n_jobs
1
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oob_score
false
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random_state
35158
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verbose
0
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warm_start
false
7257
threshold
0.0
7345
axis
0
7660
categorical_features
[]
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copy
true
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fill_empty
0
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missing_values
"NaN"
7660
strategy
"mean"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
openml-pimp
openml-python
Sklearn_0.18.2.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
18484315
description
https://api.openml.org/data/download/18484315/description.xml
-1
18484316
predictions
https://api.openml.org/data/download/18484316/predictions.arff
area_under_roc_curve
0.9487719780927537 [0.948772,0.948772]
average_cost
0
f_measure
0.8904931015578134 [0.923057,0.812102]
kappa
0.7351700335369115
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3125.441327715899
mean_absolute_error
0.1789086128207234
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0.4147357447231523
number_of_instances
5404 [3818,1586]
precision
0.8902368174166841 [0.919221,0.820463]
predictive_accuracy
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prior_entropy
0.873279070744311
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relative_absolute_error
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root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.2856889718198874
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0.6273924047032754
total_cost
0
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0.9508297935394645 [0.95083,0.95083]
area_under_roc_curve
0.9563123579966412 [0.956312,0.956312]
area_under_roc_curve
0.9446310382297737 [0.944631,0.944631]
area_under_roc_curve
0.944524021205835 [0.944524,0.944524]
area_under_roc_curve
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area_under_roc_curve
0.9535008946914971 [0.953501,0.953501]
area_under_roc_curve
0.9610643515143482 [0.961064,0.961064]
area_under_roc_curve
0.9505434422426935 [0.950543,0.950543]
area_under_roc_curve
0.9414731177470741 [0.941473,0.941473]
area_under_roc_curve
0.9564700638835238 [0.95647,0.95647]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8851843575159614 [0.91906,0.803797]
f_measure
0.8952870718359063 [0.924703,0.824615]
f_measure
0.8770616562083018 [0.914508,0.787097]
f_measure
0.8799617113827796 [0.91481,0.796238]
f_measure
0.878220029239766 [0.913158,0.79375]
f_measure
0.9017602102569423 [0.930719,0.831746]
f_measure
0.9115874654706821 [0.936675,0.850932]
f_measure
0.8875550129619582 [0.92268,0.802632]
f_measure
0.881825489159175 [0.91871,0.793443]
f_measure
0.906110583589558 [0.935567,0.835526]
kappa
0.7228621003057093
kappa
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kappa
0.7016843230959463
kappa
0.711049392353265
kappa
0.7069271758436945
kappa
0.7624659717150257
kappa
0.7876384610342793
kappa
0.7254795634786144
kappa
0.7123579545454545
kappa
0.7712833545108005
kb_relative_information_score
315.967845708439
kb_relative_information_score
310.33958432653634
kb_relative_information_score
312.45642002982686
kb_relative_information_score
295.44716234730674
kb_relative_information_score
294.7305216868921
kb_relative_information_score
317.7061497653763
kb_relative_information_score
323.242829792346
kb_relative_information_score
313.0224657543841
kb_relative_information_score
307.0140721549048
kb_relative_information_score
335.5142761499184
mean_absolute_error
0.17895383504554616
mean_absolute_error
0.1825823504278215
mean_absolute_error
0.1784227007181488
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.17574093576256825
mean_absolute_error
0.17057575657184595
mean_absolute_error
0.17701838951318213
mean_absolute_error
0.18124530098019076
mean_absolute_error
0.16397772181571066
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.415131335553089
mean_prior_absolute_error
0.415131335553089
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [381,159]
number_of_instances
540 [381,159]
precision
0.8849990777478208 [0.916667,0.808917]
precision
0.8962712216704155 [0.933333,0.807229]
precision
0.876566636816848 [0.905128,0.807947]
precision
0.8800781155243765 [0.91601,0.79375]
precision
0.8787706577830035 [0.917989,0.783951]
precision
0.9016757240518694 [0.929504,0.834395]
precision
0.9123198120279075 [0.944149,0.835366]
precision
0.887266377705151 [0.908629,0.835616]
precision
0.8815329253876644 [0.903553,0.828767]
precision
0.9062893447790873 [0.918987,0.875862]
predictive_accuracy
0.8853974121996303
predictive_accuracy
0.8946395563770796
predictive_accuracy
0.878003696857671
predictive_accuracy
0.8798521256931607
predictive_accuracy
0.8777777777777778
predictive_accuracy
0.9018518518518519
predictive_accuracy
0.9111111111111111
predictive_accuracy
0.8888888888888888
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.9074074074074074
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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recall
0.8853974121996303 [0.921466,0.798742]
recall
0.8946395563770795 [0.91623,0.842767]
recall
0.878003696857671 [0.924084,0.767296]
recall
0.8798521256931608 [0.913613,0.798742]
recall
0.8777777777777778 [0.908377,0.803797]
recall
0.9018518518518519 [0.931937,0.829114]
recall
0.9111111111111111 [0.929319,0.867089]
recall
0.8888888888888888 [0.937173,0.772152]
recall
0.8833333333333333 [0.934383,0.761006]
recall
0.9074074074074074 [0.952756,0.798742]
relative_absolute_error
0.43131110576874837
relative_absolute_error
0.4400564840470612
relative_absolute_error
0.43003097598553813
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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