10437820
11497
Fares Gaaloul
2273
Supervised Classification
predictive_accuracy
17488
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1)
8259290
add_indicator
false
17407
copy
true
17407
fill_value
-1
17407
missing_values
NaN
17407
strategy
"constant"
17407
verbose
0
17407
memory
null
17488
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
17488
verbose
false
17488
base_score
0.5
17489
booster
"gbtree"
17489
colsample_bylevel
1
17489
colsample_bynode
1
17489
colsample_bytree
1
17489
gamma
0
17489
learning_rate
0.1
17489
max_delta_step
0
17489
max_depth
3
17489
min_child_weight
1
17489
missing
null
17489
n_estimators
100
17489
n_jobs
1
17489
nthread
null
17489
objective
"multi:softprob"
17489
random_state
42
17489
reg_alpha
0
17489
reg_lambda
1
17489
scale_pos_weight
1
17489
seed
null
17489
silent
null
17489
subsample
1
17489
verbosity
1
17489
openml-python
Sklearn_0.21.2.
276
meta_batchincremental.arff
https://www.openml.org/data/download/12454/meta_batchincremental.arff
-1
21799993
description
https://api.openml.org/data/download/21799993/description.xml
-1
21799994
predictions
https://api.openml.org/data/download/21799994/predictions.arff
area_under_roc_curve
0.7125161962224066 [0.753233,0.463768,0.535211,0.735]
average_cost
0
kappa
0.27046720960137144
kb_relative_information_score
0.20809240169710466
mean_absolute_error
0.18730000926959453
mean_prior_absolute_error
0.25190575190575204
weighted_recall
0.6891891891891891 [0.4375,0,0,0.88]
number_of_instances
74 [16,5,3,50]
predictive_accuracy
0.6891891891891891
prior_entropy
1.3131659342381143
relative_absolute_error
0.7435320863164366
root_mean_prior_squared_error
0.35042347692645887
root_mean_squared_error
0.35670246076401985
root_relative_squared_error
1.0179182738914456
total_cost
0
unweighted_recall
0.329375 [0.4375,0,0,0.88]
area_under_roc_curve
0.494047619047619 [0.5,0.285714,0.0,0.533333]
area_under_roc_curve
0.9434523809523809 [0.916667,0.714286,0.0,1]
area_under_roc_curve
0.6369047619047619 [0.833333,0.428571,0.0,0.6]
area_under_roc_curve
0.7172619047619048 [0.583333,0.571429,0.0,0.8]
area_under_roc_curve
0.9 [0.9,0.0,0.0,0.9]
area_under_roc_curve
1 [1,0.0,0.0,1]
area_under_roc_curve
0.7857142857142857 [0.666667,0.0,0.833333,0.8]
area_under_roc_curve
0.9047619047619048 [0.666667,0.0,0.666667,1]
area_under_roc_curve
0.47619047619047616 [0.666667,0.0,0.166667,0.5]
area_under_roc_curve
0.619047619047619 [1,0.333333,0.0,0.6]
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
1 [1,0.0,0.0,1]
kappa
-0.18518518518518517
kappa
0.4074074074074074
kappa
0.5151515151515151
kappa
0.1111111111111111
kappa
0
kappa
1
kappa
0.22222222222222218
kappa
0.4615384615384616
kappa
0
kappa
-0.10526315789473696
kb_relative_information_score
-0.06649776015732681
kb_relative_information_score
0.3814991847212991
kb_relative_information_score
0.1548481165093123
kb_relative_information_score
0.050979440134878776
kb_relative_information_score
0.3527176657020301
kb_relative_information_score
0.8005344097569358
kb_relative_information_score
0.22727837020624528
kb_relative_information_score
0.19152108619277616
kb_relative_information_score
0.09082087835261814
kb_relative_information_score
0.10465390431178545
mean_absolute_error
0.27889994897812503
mean_absolute_error
0.145995176059375
mean_absolute_error
0.22262059331875
mean_absolute_error
0.246419898846875
mean_absolute_error
0.13661186656785715
mean_absolute_error
0.061810503257142865
mean_absolute_error
0.16423517876785715
mean_absolute_error
0.18781179424285716
mean_absolute_error
0.20095183122857144
mean_absolute_error
0.20696678998214285
mean_prior_absolute_error
0.2636217948717949
mean_prior_absolute_error
0.2636217948717949
mean_prior_absolute_error
0.2636217948717949
mean_prior_absolute_error
0.2636217948717949
mean_prior_absolute_error
0.23534798534798534
mean_prior_absolute_error
0.23534798534798534
mean_prior_absolute_error
0.24725274725274726
mean_prior_absolute_error
0.24725274725274726
mean_prior_absolute_error
0.24725274725274726
mean_prior_absolute_error
0.24542124542124544
number_of_instances
8 [2,1,0,5]
number_of_instances
8 [2,1,0,5]
number_of_instances
8 [2,1,0,5]
number_of_instances
8 [2,1,0,5]
number_of_instances
7 [2,0,0,5]
number_of_instances
7 [2,0,0,5]
number_of_instances
7 [1,0,1,5]
number_of_instances
7 [1,0,1,5]
number_of_instances
7 [1,0,1,5]
number_of_instances
7 [1,1,0,5]
precision
1 [1,0.0,0.0,1]
predictive_accuracy
0.5
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.7142857142857143
predictive_accuracy
1
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.5714285714285715
prior_entropy
1.3951503572273343
prior_entropy
1.3951503572273343
prior_entropy
1.3951503572273343
prior_entropy
1.3951503572273343
prior_entropy
1.065823305668226
prior_entropy
1.065823305668226
prior_entropy
1.364032282989703
prior_entropy
1.364032282989703
prior_entropy
1.364032282989703
prior_entropy
1.2804662114581091
relative_absolute_error
1.0579548216556232
relative_absolute_error
0.5538054094896657
relative_absolute_error
0.8444696062668693
relative_absolute_error
0.934747822981459
relative_absolute_error
0.5804675419926071
relative_absolute_error
0.2626345118941635
relative_absolute_error
0.66424005635
relative_absolute_error
0.7595943678266666
relative_absolute_error
0.8127385174133334
relative_absolute_error
0.8433124427630596
root_mean_prior_squared_error
0.36675967082992034
root_mean_prior_squared_error
0.36675967082992034
root_mean_prior_squared_error
0.36675967082992034
root_mean_prior_squared_error
0.36675967082992034
root_mean_prior_squared_error
0.32594301131250236
root_mean_prior_squared_error
0.32594301131250236
root_mean_prior_squared_error
0.34372024748074403
root_mean_prior_squared_error
0.34372024748074403
root_mean_prior_squared_error
0.34372024748074403
root_mean_prior_squared_error
0.341045607942284
root_mean_squared_error
0.45822030351848186
root_mean_squared_error
0.30457656259964294
root_mean_squared_error
0.385307826480634
root_mean_squared_error
0.43359324023509893
root_mean_squared_error
0.3076725058868313
root_mean_squared_error
0.13025233532217098
root_mean_squared_error
0.3500352582260826
root_mean_squared_error
0.32269831868268345
root_mean_squared_error
0.3808545263591135
root_mean_squared_error
0.36224863023030257
root_relative_squared_error
1.2493748357926058
root_relative_squared_error
0.8304527101096839
root_relative_squared_error
1.050573051308346
root_relative_squared_error
1.1822271496043841
root_relative_squared_error
0.9439457058701777
root_relative_squared_error
0.3996168986648091
root_relative_squared_error
1.0183725305437306
root_relative_squared_error
0.9388400044741668
root_relative_squared_error
1.1080363439469765
root_relative_squared_error
1.0621706358159781
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
107.57589299998926
usercpu_time_millis
107.55240399998911
usercpu_time_millis
106.63766000001829
usercpu_time_millis
103.39833799997677
usercpu_time_millis
108.77627699997561
usercpu_time_millis
109.62969899998143
usercpu_time_millis
103.72745500004044
usercpu_time_millis
105.88590500000805
usercpu_time_millis
106.49069999999483
usercpu_time_millis
110.5904299999736
usercpu_time_millis_testing
0.7649460000038744
usercpu_time_millis_testing
0.7671019999975215
usercpu_time_millis_testing
0.7568660000174532
usercpu_time_millis_testing
0.7590579999998681
usercpu_time_millis_testing
0.7684019999771863
usercpu_time_millis_testing
0.7665260000067065
usercpu_time_millis_testing
0.7564710000167452
usercpu_time_millis_testing
0.7701440000005277
usercpu_time_millis_testing
0.77288900001804
usercpu_time_millis_testing
0.8989179999900898
usercpu_time_millis_training
106.81094699998539
usercpu_time_millis_training
106.78530199999159
usercpu_time_millis_training
105.88079400000083
usercpu_time_millis_training
102.6392799999769
usercpu_time_millis_training
108.00787499999842
usercpu_time_millis_training
108.86317299997472
usercpu_time_millis_training
102.97098400002369
usercpu_time_millis_training
105.11576100000752
usercpu_time_millis_training
105.71781099997679
usercpu_time_millis_training
109.6915119999835
wall_clock_time_millis
108.57319831848145
wall_clock_time_millis
108.25896263122559
wall_clock_time_millis
107.22041130065918
wall_clock_time_millis
103.7147045135498
wall_clock_time_millis
109.35425758361816
wall_clock_time_millis
110.27240753173828
wall_clock_time_millis
104.08616065979004
wall_clock_time_millis
106.63819313049316
wall_clock_time_millis
107.31267929077148
wall_clock_time_millis
111.09375953674316
wall_clock_time_millis_testing
0.7696151733398438
wall_clock_time_millis_testing
0.7708072662353516
wall_clock_time_millis_testing
0.7598400115966797
wall_clock_time_millis_testing
0.7624626159667969
wall_clock_time_millis_testing
0.7717609405517578
wall_clock_time_millis_testing
0.77056884765625
wall_clock_time_millis_testing
0.7600784301757812
wall_clock_time_millis_testing
0.774383544921875
wall_clock_time_millis_testing
0.7767677307128906
wall_clock_time_millis_testing
0.9729862213134766
wall_clock_time_millis_training
107.8035831451416
wall_clock_time_millis_training
107.48815536499023
wall_clock_time_millis_training
106.4605712890625
wall_clock_time_millis_training
102.95224189758301
wall_clock_time_millis_training
108.5824966430664
wall_clock_time_millis_training
109.50183868408203
wall_clock_time_millis_training
103.32608222961426
wall_clock_time_millis_training
105.86380958557129
wall_clock_time_millis_training
106.5359115600586
wall_clock_time_millis_training
110.12077331542969
weighted_recall
0.5 [0,0,0.0,0.8]
weighted_recall
0.75 [0.5,0,0.0,1]
weighted_recall
0.75 [1,0,0.0,0.8]
weighted_recall
0.5 [0.5,0,0.0,0.6]
weighted_recall
0.7142857142857143 [0,0.0,0.0,1]
weighted_recall
1 [1,0.0,0.0,1]
weighted_recall
0.7142857142857143 [0,0.0,0,1]
weighted_recall
0.7142857142857143 [1,0.0,0,0.8]
weighted_recall
0.7142857142857143 [0,0.0,0,1]
weighted_recall
0.5714285714285714 [0,0,0.0,0.8]