6064537
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4099071
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
C
16.646656170503107
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.0
6953
decision_function_shape
null
6953
degree
3
6953
gamma
3.5215846116950925e-05
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
3961
6953
shrinking
false
6953
tol
0.001837916875080418
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
13052461
description
https://api.openml.org/data/download/13052461/description.xml
-1
13052462
predictions
https://api.openml.org/data/download/13052462/predictions.arff
area_under_roc_curve
0.9604792351913192 [0.960479,0.960479]
average_cost
0
f_measure
0.9209914188405617 [0.958612,0.714542]
kappa
0.6753750533005497
kb_relative_information_score
3808.126452444242
mean_absolute_error
0.11293573913256424
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9267977841267568 [0.929341,0.912844]
predictive_accuracy
0.9277053652622007
prior_entropy
0.6203559250859288
recall
0.9277053652622007 [0.989787,0.587021]
relative_absolute_error
0.43298447211863356
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.23793076208772734
root_relative_squared_error
0.6589408030362195
total_cost
0
area_under_roc_curve
0.955897199737863 [0.955897,0.955897]
area_under_roc_curve
0.9473785930142665 [0.947379,0.947379]
area_under_roc_curve
0.9644212523719164 [0.964421,0.964421]
area_under_roc_curve
0.9641752758451052 [0.964175,0.964175]
area_under_roc_curve
0.9768782064797246 [0.976878,0.976878]
area_under_roc_curve
0.9636657530395671 [0.963666,0.963666]
area_under_roc_curve
0.9747874060018272 [0.974787,0.974787]
area_under_roc_curve
0.9710274790919953 [0.971027,0.971027]
area_under_roc_curve
0.9493949394939494 [0.949395,0.949395]
area_under_roc_curve
0.9572021718300863 [0.957202,0.957202]
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
0.9219441164895712 [0.959307,0.715152]
f_measure
0.9215741833923653 [0.959307,0.715152]
f_measure
0.9152625391849529 [0.956897,0.6875]
f_measure
0.9182369146005509 [0.957576,0.70303]
f_measure
0.9206168831168832 [0.958333,0.714286]
f_measure
0.9217901099283915 [0.95698,0.729282]
f_measure
0.9230092297777335 [0.960208,0.719512]
f_measure
0.93641334450583 [0.965998,0.774566]
f_measure
0.9175714819806658 [0.956522,0.702381]
f_measure
0.9127160863320471 [0.955017,0.679012]
kappa
0.6767807277122496
kappa
0.6770364817591207
kappa
0.6480675710263627
kappa
0.6632933533233385
kappa
0.6747967479674796
kappa
0.6870645610775662
kappa
0.6824002008536278
kappa
0.7418151179585941
kappa
0.6609314865504538
kappa
0.6371299080858993
kb_relative_information_score
389.8747579309921
kb_relative_information_score
369.79888281486143
kb_relative_information_score
363.8112579501987
kb_relative_information_score
385.322595154076
kb_relative_information_score
387.9134322080349
kb_relative_information_score
380.18395884695315
kb_relative_information_score
383.2127076869794
kb_relative_information_score
410.2045008981733
kb_relative_information_score
372.8283320560225
kb_relative_information_score
364.9760268979663
mean_absolute_error
0.10864697081768676
mean_absolute_error
0.11839384817144372
mean_absolute_error
0.11926901809745383
mean_absolute_error
0.11390701293882584
mean_absolute_error
0.11085331314956559
mean_absolute_error
0.11320611888458466
mean_absolute_error
0.11229414851070113
mean_absolute_error
0.10328411005885231
mean_absolute_error
0.1132587094238606
mean_absolute_error
0.11624965170125087
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
0.9283587235611146 [0.92953,0.921875]
precision
0.9292922041665759 [0.927973,0.936508]
precision
0.9259990210270885 [0.921927,0.948276]
precision
0.9254229299455431 [0.926298,0.920635]
precision
0.9261707988980716 [0.929293,0.909091]
precision
0.9221823014563597 [0.938038,0.835443]
precision
0.9317284398630822 [0.928094,0.951613]
precision
0.9410539793786644 [0.940577,0.943662]
precision
0.921627406175455 [0.929054,0.880597]
precision
0.9197913457472153 [0.923077,0.901639]
predictive_accuracy
0.9287878787878787
predictive_accuracy
0.9287878787878787
predictive_accuracy
0.9242424242424242
predictive_accuracy
0.9257575757575758
predictive_accuracy
0.9272727272727274
predictive_accuracy
0.9257575757575758
predictive_accuracy
0.9303030303030303
predictive_accuracy
0.9409090909090909
predictive_accuracy
0.9241274658573596
predictive_accuracy
0.921092564491654
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
0.9287878787878788 [0.991055,0.584158]
recall
0.9287878787878788 [0.992832,0.578431]
recall
0.9242424242424242 [0.994624,0.539216]
recall
0.9257575757575758 [0.991039,0.568627]
recall
0.9272727272727272 [0.989247,0.588235]
recall
0.9257575757575758 [0.976703,0.647059]
recall
0.9303030303030303 [0.994624,0.578431]
recall
0.9409090909090909 [0.992832,0.656863]
recall
0.9241274658573596 [0.985663,0.584158]
recall
0.921092564491654 [0.989247,0.544554]
relative_absolute_error
0.41776820540325305
relative_absolute_error
0.453420059147472
relative_absolute_error
0.4567717501833185
relative_absolute_error
0.4362365557139782
relative_absolute_error
0.4245416175018172
relative_absolute_error
0.43355229949257434
relative_absolute_error
0.4300596715625468
relative_absolute_error
0.3955533840243429
relative_absolute_error
0.43523247457483616
relative_absolute_error
0.4467261178921669
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
0.23643923318974408
root_mean_squared_error
0.24050770562675888
root_mean_squared_error
0.24618283434119517
root_mean_squared_error
0.2343620218538626
root_mean_squared_error
0.23242872635447015
root_mean_squared_error
0.2464134667812347
root_mean_squared_error
0.2321476635499889
root_mean_squared_error
0.22001991177665214
root_mean_squared_error
0.2417847921156124
root_mean_squared_error
0.24766414960958832
root_relative_squared_error
0.656741446846112
root_relative_squared_error
0.6653583214937749
root_relative_squared_error
0.6810584176959249
root_relative_squared_error
0.6483564469429796
root_relative_squared_error
0.6430080351527
root_relative_squared_error
0.6816964563516379
root_relative_squared_error
0.6422304822034645
root_relative_squared_error
0.6086793718871772
root_relative_squared_error
0.6711738115551662
root_relative_squared_error
0.6874944028719286
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
61385.76339099999
usercpu_time_millis
62850.09311199997
usercpu_time_millis
61556.330333000034
usercpu_time_millis
62393.849916
usercpu_time_millis
62957.34866499998
usercpu_time_millis
63758.45759600003
usercpu_time_millis
70131.87413699996
usercpu_time_millis
69367.52175900011
usercpu_time_millis
69392.13250399995
usercpu_time_millis
68814.21101300008
usercpu_time_millis_testing
2072.6665789999997
usercpu_time_millis_testing
2109.5713239999723
usercpu_time_millis_testing
2047.6457470000184
usercpu_time_millis_testing
2075.9978339999916
usercpu_time_millis_testing
2129.4186989999844
usercpu_time_millis_testing
2297.510970000019
usercpu_time_millis_testing
2278.395004999993
usercpu_time_millis_testing
2260.3058570000485
usercpu_time_millis_testing
2275.982333999991
usercpu_time_millis_testing
2226.6991600000665
usercpu_time_millis_training
59313.096811999996
usercpu_time_millis_training
60740.521788
usercpu_time_millis_training
59508.68458600002
usercpu_time_millis_training
60317.852082000005
usercpu_time_millis_training
60827.929965999996
usercpu_time_millis_training
61460.94662600001
usercpu_time_millis_training
67853.47913199996
usercpu_time_millis_training
67107.21590200007
usercpu_time_millis_training
67116.15016999996
usercpu_time_millis_training
66587.51185300002