8784061
4009
Vishal Chouskey
3946
Supervised Classification
7694
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4)
6759378
categorical_features
[190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228]
7256
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7256
handle_unknown
"ignore"
7256
n_values
"auto"
7256
sparse
true
7256
bootstrap
true
7257
class_weight
null
7257
criterion
"entropy"
7257
max_depth
null
7257
max_features
0.30269254994809974
7257
max_leaf_nodes
null
7257
min_impurity_split
1e-07
7257
min_samples_leaf
3
7257
min_samples_split
20
7257
min_weight_fraction_leaf
0.0
7257
n_estimators
10
7257
n_jobs
1
7257
oob_score
false
7257
random_state
51268
7257
verbose
0
7257
warm_start
false
7257
threshold
0.0
7345
axis
0
7660
categorical_features
[190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"median"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
openml-pimp
openml-python
Sklearn_0.18.2.
1112
KDDCup09_churn
https://www.openml.org/data/download/53995/KDDCup09_churn.arff
-1
18484289
description
https://api.openml.org/data/download/18484289/description.xml
-1
18484290
predictions
https://api.openml.org/data/download/18484290/predictions.arff
area_under_roc_curve
0.6639345875944154 [0.663935,0.663935]
average_cost
0
f_measure
0.8919955801439755 [0.961678,0.012845]
kappa
0.010316106484299288
kb_relative_information_score
-27052.98049080388
mean_absolute_error
0.1285942606243719
mean_prior_absolute_error
0.13610768849252358
number_of_instances
50000 [46328,3672]
precision
0.8859864933336415 [0.926945,0.369231]
predictive_accuracy
0.92622
prior_entropy
0.37869426717933
recall
0.92622 [0.999115,0.006536]
relative_absolute_error
0.9447979173596472
root_mean_prior_squared_error
0.2608573684813835
root_mean_squared_error
0.25900021951987123
root_relative_squared_error
0.9928805961191592
total_cost
0
area_under_roc_curve
0.6689948116129759 [0.668995,0.668995]
area_under_roc_curve
0.6576922941540888 [0.657692,0.657692]
area_under_roc_curve
0.66180804570458 [0.661808,0.661808]
area_under_roc_curve
0.6494138425264555 [0.649414,0.649414]
area_under_roc_curve
0.6820519893125434 [0.682052,0.682052]
area_under_roc_curve
0.6652559443537094 [0.665256,0.665256]
area_under_roc_curve
0.6792742621790955 [0.679274,0.679274]
area_under_roc_curve
0.6744051529396681 [0.674405,0.674405]
area_under_roc_curve
0.623222751602501 [0.623223,0.623223]
area_under_roc_curve
0.6762945131802357 [0.676295,0.676295]
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
0.8912724325644434 [0.961239,0.01061]
f_measure
0.8923708109412064 [0.961986,0.016129]
f_measure
0.8911837454487681 [0.961355,0.005348]
f_measure
0.8922507220779222 [0.961662,0.016]
f_measure
0.8923538127020071 [0.96177,0.016043]
f_measure
0.8921769403047907 [0.961994,0.010811]
f_measure
0.8916887052002076 [0.961894,0.00542]
f_measure
0.8935238799552461 [0.962186,0.026738]
f_measure
0.8907795050803988 [0.960923,0.005291]
f_measure
0.8923538127020071 [0.96177,0.016043]
kappa
0.007121044987798527
kappa
0.01456929677941876
kappa
0.002607163425497394
kappa
0.012908693251613068
kappa
0.013331817582212779
kappa
0.009632005230008595
kappa
0.0046280726344864
kappa
0.024056471738928165
kappa
0.001023419624363188
kappa
0.013331817582212779
kb_relative_information_score
-2618.2312285071775
kb_relative_information_score
-2725.589430927601
kb_relative_information_score
-2750.0072163601308
kb_relative_information_score
-2745.344662929934
kb_relative_information_score
-2634.8676567178736
kb_relative_information_score
-2568.806369779779
kb_relative_information_score
-2643.732828478564
kb_relative_information_score
-2563.279008184114
kb_relative_information_score
-3133.0709035180507
kb_relative_information_score
-2670.051185398188
mean_absolute_error
0.12827507328179735
mean_absolute_error
0.1286977277998879
mean_absolute_error
0.1286789671175974
mean_absolute_error
0.12917932079863692
mean_absolute_error
0.1279741550912323
mean_absolute_error
0.1272497282023881
mean_absolute_error
0.12786721059534165
mean_absolute_error
0.12679647572369523
mean_absolute_error
0.133027450988187
mean_absolute_error
0.12819649664499
mean_prior_absolute_error
0.1362441822326865
mean_prior_absolute_error
0.1362441822326865
mean_prior_absolute_error
0.13607356505737367
mean_prior_absolute_error
0.13607356505737367
mean_prior_absolute_error
0.13607356505737367
mean_prior_absolute_error
0.13607356505737367
mean_prior_absolute_error
0.13607356505737367
mean_prior_absolute_error
0.13607356505737367
mean_prior_absolute_error
0.13607356505737367
mean_prior_absolute_error
0.13607356505737367
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4632,368]
number_of_instances
5000 [4633,367]
number_of_instances
5000 [4633,367]
number_of_instances
5000 [4633,367]
number_of_instances
5000 [4633,367]
number_of_instances
5000 [4633,367]
number_of_instances
5000 [4633,367]
number_of_instances
5000 [4633,367]
number_of_instances
5000 [4633,367]
precision
0.8748207929829247 [0.926668,0.222222]
precision
0.9139186549239392 [0.926942,0.75]
precision
0.8691635031901805 [0.926697,0.142857]
precision
0.8865604166666667 [0.927083,0.375]
precision
0.8905060913850821 [0.927098,0.428571]
precision
0.9078509238876661 [0.926956,0.666667]
precision
0.8954457382953181 [0.926771,0.5]
precision
0.9118486795799834 [0.927498,0.714286]
precision
0.8652960586016508 [0.926639,0.090909]
precision
0.8905060913850821 [0.927098,0.428571]
predictive_accuracy
0.9254000000000001
predictive_accuracy
0.9268000000000001
predictive_accuracy
0.9256
predictive_accuracy
0.9262
predictive_accuracy
0.9264
predictive_accuracy
0.9268000000000001
predictive_accuracy
0.9266
predictive_accuracy
0.9272
predictive_accuracy
0.9248000000000001
predictive_accuracy
0.9264
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
prior_entropy
0.37869426717933
recall
0.9254 [0.998489,0.005435]
recall
0.9268 [0.999784,0.008152]
recall
0.9256 [0.998705,0.002725]
recall
0.9262 [0.998921,0.008174]
recall
0.9264 [0.999137,0.008174]
recall
0.9268 [0.999784,0.00545]
recall
0.9266 [0.999784,0.002725]
recall
0.9272 [0.999568,0.013624]
recall
0.9248 [0.997842,0.002725]
recall
0.9264 [0.999137,0.008174]
relative_absolute_error
0.941508629430657
relative_absolute_error
0.9446108134003822
relative_absolute_error
0.9456573513256714
relative_absolute_error
0.9493344335041867
relative_absolute_error
0.9404777117236081
relative_absolute_error
0.9351539231645389
relative_absolute_error
0.9396917802618612
relative_absolute_error
0.9318229861195533
relative_absolute_error
0.9776142113429428
relative_absolute_error
0.9421116922374864
root_mean_prior_squared_error
0.2611188626494895
root_mean_prior_squared_error
0.2611188626494895
root_mean_prior_squared_error
0.26079195397107247
root_mean_prior_squared_error
0.26079195397107247
root_mean_prior_squared_error
0.26079195397107247
root_mean_prior_squared_error
0.26079195397107247
root_mean_prior_squared_error
0.26079195397107247
root_mean_prior_squared_error
0.26079195397107247
root_mean_prior_squared_error
0.26079195397107247
root_mean_prior_squared_error
0.26079195397107247
root_mean_squared_error
0.2596184064914648
root_mean_squared_error
0.2595808620197891
root_mean_squared_error
0.2601483161094909
root_mean_squared_error
0.260110768338368
root_mean_squared_error
0.25744924436100053
root_mean_squared_error
0.25784442482459347
root_mean_squared_error
0.25687661538131884
root_mean_squared_error
0.2568181004908635
root_mean_squared_error
0.26439462790525253
root_mean_squared_error
0.2570659947314776
root_relative_squared_error
0.994253742748417
root_relative_squared_error
0.9941099596785355
root_relative_squared_error
0.9975319872726865
root_relative_squared_error
0.9973880113157938
root_relative_squared_error
0.9871824664865132
root_relative_squared_error
0.9886977757496079
root_relative_squared_error
0.9849867354796232
root_relative_squared_error
0.9847623616461353
root_relative_squared_error
1.0138143599881908
root_relative_squared_error
0.985712905697972
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
69963.31576000003
usercpu_time_millis
69811.08564699997
usercpu_time_millis
70332.38616499995
usercpu_time_millis
68367.07309200005
usercpu_time_millis
71841.65634099998
usercpu_time_millis
68173.21354599994
usercpu_time_millis
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usercpu_time_millis
64127.29867399992
usercpu_time_millis
67548.72575999991
usercpu_time_millis
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usercpu_time_millis_testing
370.60082000002126
usercpu_time_millis_testing
372.08146299997225
usercpu_time_millis_testing
542.0151059999512
usercpu_time_millis_testing
384.9999750000279
usercpu_time_millis_testing
447.26184799998236
usercpu_time_millis_testing
413.5788359999424
usercpu_time_millis_testing
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usercpu_time_millis_testing
354.869115999918
usercpu_time_millis_testing
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usercpu_time_millis_testing
376.3620089999904
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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