6030267
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4064951
bootstrap
false
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.7438505118904808
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
16
6902
min_samples_split
14
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
35791
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
12983615
description
https://api.openml.org/data/download/12983615/description.xml
-1
12983616
predictions
https://api.openml.org/data/download/12983616/predictions.arff
area_under_roc_curve
0.9986044447404341 [0.998604,0.998604]
average_cost
0
f_measure
0.9890159878294951 [0.993568,0.964036]
kappa
0.957605884002311
kb_relative_information_score
5807.699850500373
mean_absolute_error
0.030839520742853083
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9890340570575834 [0.990736,0.979695]
predictive_accuracy
0.9890876023037284
prior_entropy
0.6203559250859288
recall
0.9890876023037284 [0.996416,0.948869]
relative_absolute_error
0.11823567731346822
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.101827647094361
root_relative_squared_error
0.2820080554481104
total_cost
0
area_under_roc_curve
0.9989372819213942 [0.998937,0.998937]
area_under_roc_curve
0.9953967249982432 [0.995397,0.995397]
area_under_roc_curve
0.9998594419846792 [0.999859,0.999859]
area_under_roc_curve
0.9992269309157353 [0.999227,0.999227]
area_under_roc_curve
0.9991215124042448 [0.999122,0.999122]
area_under_roc_curve
0.9984538618314709 [0.998454,0.998454]
area_under_roc_curve
0.9972591187012441 [0.997259,0.997259]
area_under_roc_curve
0.9987701173659427 [0.99877,0.99877]
area_under_roc_curve
0.9992015330565315 [0.999202,0.999202]
area_under_roc_curve
0.9992370204762412 [0.999237,0.999237]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9863911194538181 [0.991943,0.955665]
f_measure
0.9830153846153846 [0.990222,0.94359]
f_measure
0.9969574059373737 [0.998211,0.990099]
f_measure
0.992345964678636 [0.99554,0.974874]
f_measure
0.9893725636571312 [0.993733,0.965517]
f_measure
0.9862227364215449 [0.991971,0.954774]
f_measure
0.9801824414364928 [0.988382,0.935323]
f_measure
0.9939393939393939 [0.996416,0.980392]
f_measure
0.9923333823696536 [0.99554,0.974619]
f_measure
0.9893120175400919 [0.993744,0.964824]
kappa
0.9476079593564775
kappa
0.9338363954505685
kappa
0.9883103081827842
kappa
0.9704173838209983
kappa
0.959250635055038
kappa
0.9467512908777967
kappa
0.9237089201877936
kappa
0.9768079274720639
kappa
0.9701623638289973
kappa
0.9585702097085635
kb_relative_information_score
575.5371783906753
kb_relative_information_score
561.7120528845614
kb_relative_information_score
596.0877717176938
kb_relative_information_score
604.6463213135689
kb_relative_information_score
584.2884859603207
kb_relative_information_score
573.3764130987312
kb_relative_information_score
559.8988099920048
kb_relative_information_score
594.945967450237
kb_relative_information_score
577.9063661306033
kb_relative_information_score
579.300483562141
mean_absolute_error
0.03239439387270867
mean_absolute_error
0.03812422633813912
mean_absolute_error
0.027643758427029385
mean_absolute_error
0.02476612932404503
mean_absolute_error
0.028703886967415507
mean_absolute_error
0.035123454640112385
mean_absolute_error
0.036243539094931124
mean_absolute_error
0.024908473889489222
mean_absolute_error
0.030948032583961168
mean_absolute_error
0.029537503949861686
mean_prior_absolute_error
0.2600651974288342
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.2602257782682673
mean_prior_absolute_error
0.2602257782682673
number_of_instances
660 [559,101]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
659 [558,101]
number_of_instances
659 [558,101]
precision
0.9864270471955481 [0.992832,0.95098]
precision
0.983427206007851 [0.982363,0.989247]
precision
0.9969805194805195 [0.996429,1]
precision
0.9924915226869045 [0.991119,1]
precision
0.9893597767647961 [0.992844,0.970297]
precision
0.9863016275442343 [0.987567,0.979381]
precision
0.9801382812077999 [0.98574,0.949495]
precision
0.9939393939393939 [0.996416,0.980392]
precision
0.9924801289428786 [0.991119,1]
precision
0.989325513623852 [0.991087,0.979592]
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9969696969696971
predictive_accuracy
0.9924242424242425
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9803030303030303
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.992412746585736
predictive_accuracy
0.9893778452200302
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
recall
0.9863636363636363 [0.991055,0.960396]
recall
0.9833333333333333 [0.998208,0.901961]
recall
0.996969696969697 [1,0.980392]
recall
0.9924242424242424 [1,0.95098]
recall
0.9893939393939394 [0.994624,0.960784]
recall
0.9863636363636363 [0.996416,0.931373]
recall
0.9803030303030303 [0.991039,0.921569]
recall
0.9939393939393939 [0.996416,0.980392]
recall
0.992412746585736 [1,0.950495]
recall
0.9893778452200304 [0.996416,0.950495]
relative_absolute_error
0.12456258735493918
relative_absolute_error
0.14600664838732777
relative_absolute_error
0.10586896848636532
relative_absolute_error
0.09484833879798626
relative_absolute_error
0.109929006680155
relative_absolute_error
0.134514412077574
relative_absolute_error
0.13880406705203385
relative_absolute_error
0.09539348436323192
relative_absolute_error
0.11892762042988983
relative_absolute_error
0.11350721725735953
root_mean_prior_squared_error
0.360018747598774
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.3602416958959955
root_mean_prior_squared_error
0.3602416958959955
root_mean_squared_error
0.10325420084100732
root_mean_squared_error
0.12041854175796958
root_mean_squared_error
0.08203817008196598
root_mean_squared_error
0.08881775726578733
root_mean_squared_error
0.09699634853887107
root_mean_squared_error
0.11264185486821326
root_mean_squared_error
0.1206569294367835
root_mean_squared_error
0.08901029319181865
root_mean_squared_error
0.09870201952967443
root_mean_squared_error
0.09790891844493452
root_relative_squared_error
0.28680228885213466
root_relative_squared_error
0.33313476843503004
root_relative_squared_error
0.22695646695356697
root_relative_squared_error
0.24571201882785257
root_relative_squared_error
0.2683378791821463
root_relative_squared_error
0.31162076611952494
root_relative_squared_error
0.3337942617574044
root_relative_squared_error
0.24624466446695006
root_relative_squared_error
0.27398832687643815
root_relative_squared_error
0.27178674639928846
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
55659.37063399906
usercpu_time_millis
56196.749218997866
usercpu_time_millis
55464.86502600237
usercpu_time_millis
56125.79222899876
usercpu_time_millis
55837.27822400033
usercpu_time_millis
56109.32290600249
usercpu_time_millis
57074.57593900108
usercpu_time_millis
55950.56005600418
usercpu_time_millis
55730.2502670027
usercpu_time_millis
56165.91588900337
usercpu_time_millis_testing
93.02404499976547
usercpu_time_millis_testing
94.14005299913697
usercpu_time_millis_testing
93.69666100246832
usercpu_time_millis_testing
92.52829600154655
usercpu_time_millis_testing
96.61581999898772
usercpu_time_millis_testing
93.83534200242138
usercpu_time_millis_testing
92.73086800021701
usercpu_time_millis_testing
91.09934500156669
usercpu_time_millis_testing
91.99367300243466
usercpu_time_millis_testing
92.64463400177192
usercpu_time_millis_training
55566.346588999295
usercpu_time_millis_training
56102.60916599873
usercpu_time_millis_training
55371.1683649999
usercpu_time_millis_training
56033.263932997215
usercpu_time_millis_training
55740.66240400134
usercpu_time_millis_training
56015.48756400007
usercpu_time_millis_training
56981.84507100086
usercpu_time_millis_training
55859.46071100261
usercpu_time_millis_training
55638.25659400027
usercpu_time_millis_training
56073.2712550016