6019763
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)
4054448
bootstrap
true
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.14416395922447595
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
3
6902
min_samples_split
11
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
41630
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
false
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
12962649
description
https://api.openml.org/data/download/12962649/description.xml
-1
12962650
predictions
https://api.openml.org/data/download/12962650/predictions.arff
area_under_roc_curve
0.9997353712915202 [0.999735,0.999735]
average_cost
0
f_measure
0.9925232148779847 [0.995623,0.975512]
kappa
0.9711366930264788
kb_relative_information_score
5801.591356643358
mean_absolute_error
0.03756165307895784
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.992569371316816 [0.992697,0.99187]
predictive_accuracy
0.9925735071233707
prior_entropy
0.6203559250859288
recall
0.9925735071233707 [0.998567,0.959685]
relative_absolute_error
0.14400766892051364
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.09212475050419934
root_relative_squared_error
0.25513622763233135
total_cost
0
area_under_roc_curve
0.9991675375050921 [0.999168,0.999168]
area_under_roc_curve
0.9994377679387167 [0.999438,0.999438]
area_under_roc_curve
0.9999472907442547 [0.999947,0.999947]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9998243024808489 [0.999824,0.999824]
area_under_roc_curve
0.9996134654578677 [0.999613,0.999613]
area_under_roc_curve
0.9993674889310562 [0.999367,0.999367]
area_under_roc_curve
0.9998770117365942 [0.999877,0.999877]
area_under_roc_curve
0.9999467688704353 [0.999947,0.999947]
area_under_roc_curve
0.9999290251605806 [0.999929,0.999929]
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
0.9908334683735754 [0.994652,0.969697]
f_measure
0.9892843505500906 [0.993756,0.964824]
f_measure
0.9938896103896104 [0.996429,0.98]
f_measure
0.9954267172545752 [0.997319,0.985075]
f_measure
0.9923778620909588 [0.995532,0.975124]
f_measure
0.9877792207792205 [0.992857,0.96]
f_measure
0.9893290069273423 [0.993744,0.965174]
f_measure
0.9954453844244848 [0.997314,0.985222]
f_measure
0.9954194360886108 [0.997319,0.984925]
f_measure
0.9954194360886108 [0.997319,0.984925]
kappa
0.96435194353924
kappa
0.9585843373493975
kappa
0.9764302549817868
kappa
0.9823943661971832
kappa
0.9706572769953052
kappa
0.9528605099635742
kappa
0.9589201877934271
kappa
0.9825359864521593
kappa
0.9822443755893844
kappa
0.9822443755893844
kb_relative_information_score
572.214249967792
kb_relative_information_score
567.2947698387776
kb_relative_information_score
592.9046648709477
kb_relative_information_score
590.4549559515442
kb_relative_information_score
588.1799574272686
kb_relative_information_score
568.3380154298397
kb_relative_information_score
563.4851803815131
kb_relative_information_score
590.9629217022849
kb_relative_information_score
590.0011724721231
kb_relative_information_score
577.7554686013873
mean_absolute_error
0.039378915237761415
mean_absolute_error
0.042253544817312305
mean_absolute_error
0.03450066110893642
mean_absolute_error
0.03495221769739796
mean_absolute_error
0.0348420702773994
mean_absolute_error
0.043025802378609514
mean_absolute_error
0.042795714612295435
mean_absolute_error
0.03352788564796862
mean_absolute_error
0.03378066364202172
mean_absolute_error
0.03655179651229769
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
0.9909004346443689 [0.991119,0.989691]
precision
0.9893965751155693 [0.989343,0.989691]
precision
0.9939825299255904 [0.992883,1]
precision
0.995478852698104 [0.994652,1]
precision
0.9924107384000432 [0.99287,0.989899]
precision
0.9878198060201111 [0.989324,0.979592]
precision
0.9893426241019825 [0.991087,0.979798]
precision
0.995444964890049 [0.996422,0.990099]
precision
0.9954719920800434 [0.994652,1]
precision
0.9954719920800434 [0.994652,1]
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.9924242424242425
predictive_accuracy
0.9878787878787878
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.9954476479514416
predictive_accuracy
0.9954476479514416
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
0.990909090909091 [0.998211,0.950495]
recall
0.9893939393939394 [0.998208,0.941176]
recall
0.9939393939393939 [1,0.960784]
recall
0.9954545454545455 [1,0.970588]
recall
0.9924242424242424 [0.998208,0.960784]
recall
0.9878787878787879 [0.996416,0.941176]
recall
0.9893939393939394 [0.996416,0.95098]
recall
0.9954545454545455 [0.998208,0.980392]
recall
0.9954476479514416 [1,0.970297]
recall
0.9954476479514416 [1,0.970297]
relative_absolute_error
0.15141939647090724
relative_absolute_error
0.16182094835293234
relative_absolute_error
0.13212926213858772
relative_absolute_error
0.13385861563297008
relative_absolute_error
0.13343677741703197
relative_absolute_error
0.164778509700321
relative_absolute_error
0.16389732870804374
relative_absolute_error
0.12840376530018344
relative_absolute_error
0.1298129027294028
relative_absolute_error
0.1404618587579604
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
0.10169132072481982
root_mean_squared_error
0.10441208733307046
root_mean_squared_error
0.08559002368829209
root_mean_squared_error
0.08446423156253324
root_mean_squared_error
0.0869020322558837
root_mean_squared_error
0.10121302566769631
root_mean_squared_error
0.1041186121718162
root_mean_squared_error
0.08215230698966457
root_mean_squared_error
0.07875246063984843
root_mean_squared_error
0.08703049779102572
root_relative_squared_error
0.28246118126645614
root_relative_squared_error
0.2888533279653216
root_relative_squared_error
0.23678257771179878
root_relative_squared_error
0.23366810303335228
root_relative_squared_error
0.2404122153404282
root_relative_squared_error
0.2800032069495249
root_relative_squared_error
0.28804143655342945
root_relative_squared_error
0.22727222374451433
root_relative_squared_error
0.21861006523405016
root_relative_squared_error
0.24158918521234166
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
8385.291371999981
usercpu_time_millis
8317.314388999876
usercpu_time_millis
8253.631700000027
usercpu_time_millis
8306.939362999969
usercpu_time_millis
8423.18033399988
usercpu_time_millis
8163.623193999911
usercpu_time_millis
7975.693080999918
usercpu_time_millis
8478.73289100005
usercpu_time_millis
8276.112140999998
usercpu_time_millis
8214.666925000074
usercpu_time_millis_testing
39.50421899992307
usercpu_time_millis_testing
39.41922699993938
usercpu_time_millis_testing
39.90088700004435
usercpu_time_millis_testing
40.96169900003588
usercpu_time_millis_testing
40.49092599996129
usercpu_time_millis_testing
39.534878999916145
usercpu_time_millis_testing
39.88318699998672
usercpu_time_millis_testing
40.35289300009026
usercpu_time_millis_testing
40.09658899997248
usercpu_time_millis_testing
39.66091500001312
usercpu_time_millis_training
8345.78715300006
usercpu_time_millis_training
8277.895161999935
usercpu_time_millis_training
8213.730812999984
usercpu_time_millis_training
8265.977663999933
usercpu_time_millis_training
8382.689407999918
usercpu_time_millis_training
8124.0883149999945
usercpu_time_millis_training
7935.809893999931
usercpu_time_millis_training
8438.37999799996
usercpu_time_millis_training
8236.015552000026
usercpu_time_millis_training
8175.006010000061