5995650
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)
4030383
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.3416142205626499
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
13
6902
min_samples_split
20
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
48471
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
12914446
description
https://api.openml.org/data/download/12914446/description.xml
-1
12914447
predictions
https://api.openml.org/data/download/12914447/predictions.arff
area_under_roc_curve
0.9988223846288424 [0.998822,0.998822]
average_cost
0
f_measure
0.9900693878741227 [0.994197,0.967419]
kappa
0.9616181055648421
kb_relative_information_score
5774.957364761061
mean_absolute_error
0.03533525793346666
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9901246512859279 [0.990747,0.986708]
predictive_accuracy
0.9901485298575327
prior_entropy
0.6203559250859288
recall
0.9901485298575325 [0.997671,0.948869]
relative_absolute_error
0.13547188977564573
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.10043640689243977
root_relative_squared_error
0.2781550650746663
total_cost
0
area_under_roc_curve
0.9992029614410457 [0.999203,0.999203]
area_under_roc_curve
0.9972942582050741 [0.997294,0.997294]
area_under_roc_curve
0.9992445006676507 [0.999245,0.999245]
area_under_roc_curve
0.999297209923396 [0.999297,0.999297]
area_under_roc_curve
0.999332349427226 [0.999332,0.999332]
area_under_roc_curve
0.9973996767165647 [0.9974,0.9974]
area_under_roc_curve
0.9978389205144422 [0.997839,0.997839]
area_under_roc_curve
0.9986471291025372 [0.998647,0.998647]
area_under_roc_curve
0.9997515880620319 [0.999752,0.999752]
area_under_roc_curve
0.9995386635437737 [0.999539,0.999539]
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
0.9892829557148752 [0.993767,0.964467]
f_measure
0.9830891692393924 [0.990205,0.944162]
f_measure
0.9938896103896104 [0.996429,0.98]
f_measure
0.9938896103896104 [0.996429,0.98]
f_measure
0.9908722178121211 [0.994633,0.970297]
f_measure
0.9831611222929993 [0.990187,0.944724]
f_measure
0.9831611222929993 [0.990187,0.944724]
f_measure
0.992408974040808 [0.995524,0.975369]
f_measure
0.9954194360886108 [0.997319,0.984925]
f_measure
0.9954194360886108 [0.997319,0.984925]
kappa
0.9582384206529992
kappa
0.9343817787418653
kappa
0.9764302549817868
kappa
0.9764302549817868
kappa
0.964930924548353
kappa
0.934918244406196
kappa
0.934918244406196
kappa
0.9708933107535986
kappa
0.9822443755893844
kappa
0.9822443755893844
kb_relative_information_score
575.2192813815464
kb_relative_information_score
560.064512336958
kb_relative_information_score
584.8037391811631
kb_relative_information_score
591.2170261491492
kb_relative_information_score
584.1821749137953
kb_relative_information_score
556.6864466307028
kb_relative_information_score
558.0410740090937
kb_relative_information_score
592.0223890217962
kb_relative_information_score
589.9565358982786
kb_relative_information_score
582.7641852386602
mean_absolute_error
0.036124452037928405
mean_absolute_error
0.041929030147366854
mean_absolute_error
0.03345817387612121
mean_absolute_error
0.0312103888484246
mean_absolute_error
0.032943351185962366
mean_absolute_error
0.04313657960679238
mean_absolute_error
0.04174874005708691
mean_absolute_error
0.029675845995239508
mean_absolute_error
0.03097737055934105
mean_absolute_error
0.03213719861632602
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
0.9893956184182249 [0.989362,0.989583]
precision
0.9832789939450396 [0.984071,0.978947]
precision
0.9939825299255904 [0.992883,1]
precision
0.9939825299255904 [0.992883,1]
precision
0.9908701298701299 [0.992857,0.98]
precision
0.9832066799728991 [0.98579,0.969072]
precision
0.9832066799728991 [0.98579,0.969072]
precision
0.9924023708274227 [0.994633,0.980198]
precision
0.9954719920800434 [0.994652,1]
precision
0.9954719920800434 [0.994652,1]
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9924242424242425
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
0.9893939393939394 [0.998211,0.940594]
recall
0.9833333333333333 [0.996416,0.911765]
recall
0.9939393939393939 [1,0.960784]
recall
0.9939393939393939 [1,0.960784]
recall
0.990909090909091 [0.996416,0.960784]
recall
0.9833333333333333 [0.994624,0.921569]
recall
0.9833333333333333 [0.994624,0.921569]
recall
0.9924242424242424 [0.996416,0.970588]
recall
0.9954476479514416 [1,0.970297]
recall
0.9954476479514416 [1,0.970297]
relative_absolute_error
0.13890536832716233
relative_absolute_error
0.16057813495414985
relative_absolute_error
0.128136785924122
relative_absolute_error
0.11952830806864144
relative_absolute_error
0.1261651384253072
relative_absolute_error
0.16520275993063815
relative_absolute_error
0.1598876671244358
relative_absolute_error
0.11365137677531992
relative_absolute_error
0.11904036089540065
relative_absolute_error
0.12349736767122167
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
0.10395323794480402
root_mean_squared_error
0.11770291419937919
root_mean_squared_error
0.09259276821079827
root_mean_squared_error
0.09000443627252344
root_mean_squared_error
0.09563577295659095
root_mean_squared_error
0.11959198929895154
root_mean_squared_error
0.11473960768147573
root_mean_squared_error
0.08957852692805135
root_mean_squared_error
0.08533087351120987
root_mean_squared_error
0.08725223989963084
root_relative_squared_error
0.28874395746928044
root_relative_squared_error
0.3256220553205904
root_relative_squared_error
0.2561554885680323
root_relative_squared_error
0.2489949354812556
root_relative_squared_error
0.26457388216869426
root_relative_squared_error
0.33084813252319667
root_relative_squared_error
0.3174241447975754
root_relative_squared_error
0.24781666834088278
root_relative_squared_error
0.2368711742236677
root_relative_squared_error
0.24220472225630768
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
20942.19945399891
usercpu_time_millis
20856.427377000728
usercpu_time_millis
21169.086285999583
usercpu_time_millis
21238.881339999352
usercpu_time_millis
21561.992273000214
usercpu_time_millis
20578.86652900015
usercpu_time_millis
21605.302348001715
usercpu_time_millis
21332.903499000167
usercpu_time_millis
21283.63943199838
usercpu_time_millis
21478.62649900162
usercpu_time_millis_testing
33.641946998614
usercpu_time_millis_testing
34.532267000031425
usercpu_time_millis_testing
33.80554899922572
usercpu_time_millis_testing
34.03036400050041
usercpu_time_millis_testing
33.27196600002935
usercpu_time_millis_testing
34.09753699997964
usercpu_time_millis_testing
33.88429600090603
usercpu_time_millis_testing
36.85477699946205
usercpu_time_millis_testing
33.85997399891494
usercpu_time_millis_testing
33.93002700067882
usercpu_time_millis_training
20908.557507000296
usercpu_time_millis_training
20821.895110000696
usercpu_time_millis_training
21135.280737000357
usercpu_time_millis_training
21204.850975998852
usercpu_time_millis_training
21528.720307000185
usercpu_time_millis_training
20544.768992000172
usercpu_time_millis_training
21571.41805200081
usercpu_time_millis_training
21296.048722000705
usercpu_time_millis_training
21249.779457999466
usercpu_time_millis_training
21444.696472000942