5999983
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)
4034715
bootstrap
true
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.3673742022322273
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
5
6902
min_samples_split
13
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
10743
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
"most_frequent"
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
12923083
description
https://api.openml.org/data/download/12923083/description.xml
-1
12923084
predictions
https://api.openml.org/data/download/12923084/predictions.arff
area_under_roc_curve
0.9996178564123218 [0.999618,0.999618]
average_cost
0
f_measure
0.9925355976055692 [0.99562,0.97561]
kappa
0.9712304721252316
kb_relative_information_score
5887.885530166432
mean_absolute_error
0.03248430609070368
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9925526799680151 [0.9934,0.987903]
predictive_accuracy
0.9925735071233707
prior_entropy
0.6203559250859288
recall
0.9925735071233707 [0.99785,0.963618]
relative_absolute_error
0.12454162192460333
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.08915413453669398
root_relative_squared_error
0.246909212117547
total_cost
0
area_under_roc_curve
0.9995926247365344 [0.999593,0.999593]
area_under_roc_curve
0.9988931056293485 [0.998893,0.998893]
area_under_roc_curve
0.9999824302480849 [0.999982,0.999982]
area_under_roc_curve
0.9999648604961698 [0.999965,0.999965]
area_under_roc_curve
0.9997715932251037 [0.999772,0.999772]
area_under_roc_curve
0.999156651908075 [0.999157,0.999157]
area_under_roc_curve
0.9990512333965844 [0.999051,0.999051]
area_under_roc_curve
0.9994553376906318 [0.999455,0.999455]
area_under_roc_curve
0.9999645125802903 [0.999965,0.999965]
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
0.9954452693878888 [0.997319,0.985075]
f_measure
0.9862227364215449 [0.991971,0.954774]
f_measure
0.9954267172545752 [0.997319,0.985075]
f_measure
0.9969574059373737 [0.998211,0.990099]
f_measure
0.992408974040808 [0.995524,0.975369]
f_measure
0.9892843505500906 [0.993756,0.964824]
f_measure
0.9847870296868685 [0.991055,0.950495]
f_measure
0.9939393939393939 [0.996416,0.980392]
f_measure
0.9954194360886108 [0.997319,0.984925]
f_measure
0.9954194360886108 [0.997319,0.984925]
kappa
0.9823937399964433
kappa
0.9467512908777967
kappa
0.9823943661971832
kappa
0.9883103081827842
kappa
0.9708933107535986
kappa
0.9585843373493975
kappa
0.9415515409139215
kappa
0.9768079274720639
kappa
0.9822443755893844
kappa
0.9822443755893844
kb_relative_information_score
588.9721123494978
kb_relative_information_score
575.9751102549483
kb_relative_information_score
596.121436480967
kb_relative_information_score
606.3372759594338
kb_relative_information_score
596.9789289787067
kb_relative_information_score
576.7406765760553
kb_relative_information_score
568.8498010850979
kb_relative_information_score
593.286175472359
kb_relative_information_score
594.2008353797532
kb_relative_information_score
590.423177629763
mean_absolute_error
0.03216948652270309
mean_absolute_error
0.03677062101368154
mean_absolute_error
0.03085515743407198
mean_absolute_error
0.02719242256085067
mean_absolute_error
0.029788295392326074
mean_absolute_error
0.03819348026361936
mean_absolute_error
0.03826688237480686
mean_absolute_error
0.029932870287591548
mean_absolute_error
0.031239506489194206
mean_absolute_error
0.03042933892157015
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
0.9954448051948053 [0.996429,0.99]
precision
0.9863016275442343 [0.987567,0.979381]
precision
0.995478852698104 [0.994652,1]
precision
0.9969805194805195 [0.996429,1]
precision
0.9924023708274227 [0.994633,0.980198]
precision
0.9893965751155693 [0.989343,0.989691]
precision
0.9847597402597402 [0.989286,0.96]
precision
0.9939393939393939 [0.996416,0.980392]
precision
0.9954719920800434 [0.994652,1]
precision
0.9954719920800434 [0.994652,1]
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.9969696969696971
predictive_accuracy
0.9924242424242425
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9848484848484849
predictive_accuracy
0.9939393939393939
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
0.9954545454545455 [0.998211,0.980198]
recall
0.9863636363636363 [0.996416,0.931373]
recall
0.9954545454545455 [1,0.970588]
recall
0.996969696969697 [1,0.980392]
recall
0.9924242424242424 [0.996416,0.970588]
recall
0.9893939393939394 [0.998208,0.941176]
recall
0.9848484848484849 [0.992832,0.941176]
recall
0.9939393939393939 [0.996416,0.980392]
recall
0.9954476479514416 [1,0.970297]
recall
0.9954476479514416 [1,0.970297]
relative_absolute_error
0.12369777594522674
relative_absolute_error
0.14082266445778163
relative_absolute_error
0.11816785690167234
relative_absolute_error
0.10414046030541839
relative_absolute_error
0.11408203101171449
relative_absolute_error
0.1462718743215501
relative_absolute_error
0.14655298681269904
relative_absolute_error
0.1146357182055591
relative_absolute_error
0.12004770125805651
relative_absolute_error
0.11693437569509536
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
0.08795522964007979
root_mean_squared_error
0.10348622778406247
root_mean_squared_error
0.08272592153229577
root_mean_squared_error
0.07532077935154582
root_mean_squared_error
0.08466633336376952
root_mean_squared_error
0.10114321648021977
root_mean_squared_error
0.10400910674361488
root_mean_squared_error
0.08578822240287926
root_mean_squared_error
0.08076145655684751
root_mean_squared_error
0.08012200487190503
root_relative_squared_error
0.24430735962145575
root_relative_squared_error
0.28629196156809295
root_relative_squared_error
0.2288591134796059
root_relative_squared_error
0.20837297995233833
root_relative_squared_error
0.2342272124177731
root_relative_squared_error
0.2798100816453556
root_relative_squared_error
0.28773849263022916
root_relative_squared_error
0.23733088930837024
root_relative_squared_error
0.2241868653099056
root_relative_squared_error
0.22241180236681113
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
15667.45301500032
usercpu_time_millis
16210.206235999976
usercpu_time_millis
15314.652000000024
usercpu_time_millis
15708.783451998897
usercpu_time_millis
16076.510149000569
usercpu_time_millis
15480.441728999722
usercpu_time_millis
15602.611849999448
usercpu_time_millis
15751.976714000193
usercpu_time_millis
15282.138229000338
usercpu_time_millis
15797.070771999643
usercpu_time_millis_testing
29.792850000376347
usercpu_time_millis_testing
29.378688000178954
usercpu_time_millis_testing
31.02173600018432
usercpu_time_millis_testing
29.342019999603508
usercpu_time_millis_testing
29.00641700034612
usercpu_time_millis_testing
29.522855000323034
usercpu_time_millis_testing
29.393439999694237
usercpu_time_millis_testing
29.478168000423466
usercpu_time_millis_testing
30.862581000292266
usercpu_time_millis_testing
34.37228399980086
usercpu_time_millis_training
15637.660164999943
usercpu_time_millis_training
16180.827547999797
usercpu_time_millis_training
15283.63026399984
usercpu_time_millis_training
15679.441431999294
usercpu_time_millis_training
16047.503732000223
usercpu_time_millis_training
15450.918873999399
usercpu_time_millis_training
15573.218409999754
usercpu_time_millis_training
15722.49854599977
usercpu_time_millis_training
15251.275648000046
usercpu_time_millis_training
15762.698487999842