6024529
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)
4059214
bootstrap
false
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.40470004280585214
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
18
6902
min_samples_split
9
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
52259
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
"median"
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
12972173
description
https://api.openml.org/data/download/12972173/description.xml
-1
12972174
predictions
https://api.openml.org/data/download/12972174/predictions.arff
area_under_roc_curve
0.9991722865030374 [0.999172,0.999172]
average_cost
0
f_measure
0.98977664075153 [0.994015,0.966517]
kappa
0.9605338455668182
kb_relative_information_score
5636.791062000423
mean_absolute_error
0.04121093885981179
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9898035444279639 [0.991094,0.982724]
predictive_accuracy
0.9898454076993027
prior_entropy
0.6203559250859288
recall
0.9898454076993028 [0.996954,0.950836]
relative_absolute_error
0.1579986702595882
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.10574777910667564
root_relative_squared_error
0.2928647219570429
total_cost
0
area_under_roc_curve
0.9994863529286738 [0.999486,0.999486]
area_under_roc_curve
0.998629559350622 [0.99863,0.99863]
area_under_roc_curve
0.9998594419846792 [0.999859,0.999859]
area_under_roc_curve
0.9996310352097828 [0.999631,0.999631]
area_under_roc_curve
0.9994026284348865 [0.999403,0.999403]
area_under_roc_curve
0.9985944198467919 [0.998594,0.998594]
area_under_roc_curve
0.9979443390259329 [0.997944,0.997944]
area_under_roc_curve
0.998998524140839 [0.998999,0.998999]
area_under_roc_curve
0.9995386635437737 [0.999539,0.999539]
area_under_roc_curve
0.999503176124064 [0.999503,0.999503]
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
0.9939145021645022 [0.996429,0.98]
f_measure
0.9862227364215449 [0.991971,0.954774]
f_measure
0.9954267172545752 [0.997319,0.985075]
f_measure
0.9908344155844157 [0.994643,0.97]
f_measure
0.992408974040808 [0.995524,0.975369]
f_measure
0.9831611222929993 [0.990187,0.944724]
f_measure
0.9817444356242423 [0.989267,0.940594]
f_measure
0.9924393226810376 [0.995516,0.97561]
f_measure
0.9876532948365425 [0.992883,0.958763]
f_measure
0.9938797250633367 [0.996429,0.979798]
kappa
0.9764289923394224
kappa
0.9467512908777967
kappa
0.9823943661971832
kappa
0.9646453824726807
kappa
0.9708933107535986
kappa
0.934918244406196
kappa
0.9298618490967057
kappa
0.9711255774884503
kappa
0.951659636897121
kappa
0.9762282663588486
kb_relative_information_score
560.0389077305712
kb_relative_information_score
550.8987446343222
kb_relative_information_score
579.275234783397
kb_relative_information_score
586.0101931438661
kb_relative_information_score
574.3444189024186
kb_relative_information_score
556.7990863366252
kb_relative_information_score
541.0479058811677
kb_relative_information_score
570.2163948890825
kb_relative_information_score
555.9218983398129
kb_relative_information_score
562.238277359251
mean_absolute_error
0.041725054218724314
mean_absolute_error
0.04644146390112464
mean_absolute_error
0.03681392883533689
mean_absolute_error
0.03485405655960623
mean_absolute_error
0.03804349439461004
mean_absolute_error
0.045117989064795944
mean_absolute_error
0.04760668452137457
mean_absolute_error
0.03807597424315514
mean_absolute_error
0.0429965895462822
mean_absolute_error
0.040435684216201626
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
0.9939249896469147 [0.994652,0.989899]
precision
0.9863016275442343 [0.987567,0.979381]
precision
0.995478852698104 [0.994652,1]
precision
0.9909011679728508 [0.991103,0.989796]
precision
0.9924023708274227 [0.994633,0.980198]
precision
0.9832066799728991 [0.98579,0.969072]
precision
0.9817045454545454 [0.9875,0.95]
precision
0.9924629326504838 [0.996409,0.970874]
precision
0.9880319790666874 [0.985866,1]
precision
0.993973398711517 [0.992883,1]
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9924242424242425
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.9924242424242425
predictive_accuracy
0.9878603945371774
predictive_accuracy
0.9939301972685888
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
0.9939393939393939 [0.998211,0.970297]
recall
0.9863636363636363 [0.996416,0.931373]
recall
0.9954545454545455 [1,0.970588]
recall
0.990909090909091 [0.998208,0.95098]
recall
0.9924242424242424 [0.996416,0.970588]
recall
0.9833333333333333 [0.994624,0.921569]
recall
0.9818181818181818 [0.991039,0.931373]
recall
0.9924242424242424 [0.994624,0.980392]
recall
0.9878603945371776 [1,0.920792]
recall
0.9939301972685888 [1,0.960396]
relative_absolute_error
0.1604407457485433
relative_absolute_error
0.17785967458756982
relative_absolute_error
0.14098852303371104
relative_absolute_error
0.13348268200473754
relative_absolute_error
0.1456974643952927
relative_absolute_error
0.1727910832051918
relative_absolute_error
0.1823221902563612
relative_absolute_error
0.1458218544297064
relative_absolute_error
0.16522801788667116
relative_absolute_error
0.15538692778743998
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
0.1052919401445834
root_mean_squared_error
0.1165958805645863
root_mean_squared_error
0.09269809303094143
root_mean_squared_error
0.0940521316270459
root_mean_squared_error
0.10008287430103288
root_mean_squared_error
0.11352329109150992
root_mean_squared_error
0.12223516057520012
root_mean_squared_error
0.0996127503442811
root_mean_squared_error
0.10754315677184147
root_mean_squared_error
0.10184185372784904
root_relative_squared_error
0.2924623810477973
root_relative_squared_error
0.32255947552023245
root_relative_squared_error
0.2564468669476125
root_relative_squared_error
0.26019277955857883
root_relative_squared_error
0.2768766725443278
root_relative_squared_error
0.31405923653987233
root_relative_squared_error
0.33816039721426877
root_relative_squared_error
0.27557608682736207
root_relative_squared_error
0.2985305643322588
root_relative_squared_error
0.28270423687226803
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
30902.239142
usercpu_time_millis
31226.913690999994
usercpu_time_millis
31049.501257000004
usercpu_time_millis
30622.50227300001
usercpu_time_millis
30873.811794999994
usercpu_time_millis
30430.36884999998
usercpu_time_millis
30694.126661000042
usercpu_time_millis
30505.45050099998
usercpu_time_millis
30896.277063999947
usercpu_time_millis
31109.274852
usercpu_time_millis_testing
93.84889000000385
usercpu_time_millis_testing
98.57678999999564
usercpu_time_millis_testing
91.8242090000092
usercpu_time_millis_testing
96.75395100001083
usercpu_time_millis_testing
93.44167699998707
usercpu_time_millis_testing
96.10872599998288
usercpu_time_millis_testing
94.8389520000319
usercpu_time_millis_testing
95.47014399998943
usercpu_time_millis_testing
94.98964799996656
usercpu_time_millis_testing
94.14527699999553
usercpu_time_millis_training
30808.390251999994
usercpu_time_millis_training
31128.336901
usercpu_time_millis_training
30957.677047999994
usercpu_time_millis_training
30525.748322
usercpu_time_millis_training
30780.370118000006
usercpu_time_millis_training
30334.260123999997
usercpu_time_millis_training
30599.28770900001
usercpu_time_millis_training
30409.980356999993
usercpu_time_millis_training
30801.28741599998
usercpu_time_millis_training
31015.129575000003