8778510
4009
Vishal Chouskey
146607
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)
6753827
categorical_features
[0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118]
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
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criterion
"entropy"
7257
max_depth
null
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max_features
0.16183778996000592
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max_leaf_nodes
null
7257
min_impurity_split
1e-07
7257
min_samples_leaf
6
7257
min_samples_split
2
7257
min_weight_fraction_leaf
0.0
7257
n_estimators
10
7257
n_jobs
1
7257
oob_score
false
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random_state
49851
7257
verbose
0
7257
warm_start
false
7257
threshold
0.0
7345
axis
0
7660
categorical_features
[0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118]
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.
40536
SpeedDating
https://www.openml.org/data/download/13153954/speeddating.arff
-1
18473241
description
https://api.openml.org/data/download/18473241/description.xml
-1
18473242
predictions
https://api.openml.org/data/download/18473242/predictions.arff
area_under_roc_curve
0.8355628523263375 [0.835563,0.835563]
average_cost
0
f_measure
0.8355259920014444 [0.919414,0.410129]
kappa
0.3418788250195786
kb_relative_information_score
1020.5482579474666
mean_absolute_error
0.20794859756362305
mean_prior_absolute_error
0.27522443426385396
number_of_instances
8378 [6998,1380]
precision
0.8382803363441931 [0.875129,0.65142]
predictive_accuracy
0.8582000477440918
prior_entropy
0.6456632985956458
recall
0.8582000477440916 [0.96842,0.299275]
relative_absolute_error
0.7555600872423469
root_mean_prior_squared_error
0.3709250520954917
root_mean_squared_error
0.321722272653383
root_relative_squared_error
0.8673511558085814
total_cost
0
area_under_roc_curve
0.84722049689441 [0.84722,0.84722]
area_under_roc_curve
0.8255900621118012 [0.82559,0.82559]
area_under_roc_curve
0.8543374741200828 [0.854337,0.854337]
area_under_roc_curve
0.8079451345755695 [0.807945,0.807945]
area_under_roc_curve
0.8502743271221532 [0.850274,0.850274]
area_under_roc_curve
0.8531987577639752 [0.853199,0.853199]
area_under_roc_curve
0.8259265010351967 [0.825927,0.825927]
area_under_roc_curve
0.8473343685300206 [0.847334,0.847334]
area_under_roc_curve
0.8287926852024632 [0.828793,0.828793]
area_under_roc_curve
0.8223963840683377 [0.822396,0.822396]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8329276866128706 [0.915301,0.415094]
f_measure
0.8239935338607672 [0.91475,0.363636]
f_measure
0.8473219076660163 [0.926302,0.446701]
f_measure
0.8295810407223301 [0.917456,0.383838]
f_measure
0.8303964511160289 [0.920699,0.37234]
f_measure
0.8416168965985602 [0.922764,0.43]
f_measure
0.8258296287617801 [0.916216,0.367347]
f_measure
0.8429386819505567 [0.920873,0.447619]
f_measure
0.842556475946936 [0.919918,0.450704]
f_measure
0.8367409453077145 [0.919837,0.415842]
kappa
0.33911671924290243
kappa
0.2930826705230175
kappa
0.3861507237805945
kappa
0.31552449050641374
kappa
0.3120825912733747
kappa
0.36518526394131057
kappa
0.299028602266595
kappa
0.3773028928690393
kappa
0.3785481752241706
kappa
0.34769169803843863
kb_relative_information_score
88.04481844094771
kb_relative_information_score
90.12973632170164
kb_relative_information_score
107.65915411762117
kb_relative_information_score
73.74175042480368
kb_relative_information_score
149.73238648765562
kb_relative_information_score
107.91040315611893
kb_relative_information_score
111.53245432106023
kb_relative_information_score
95.0530037256387
kb_relative_information_score
97.8946321484216
kb_relative_information_score
98.84991880349524
mean_absolute_error
0.2123903335075698
mean_absolute_error
0.20872395279375122
mean_absolute_error
0.20749282549149173
mean_absolute_error
0.21239678704890197
mean_absolute_error
0.19872604547415548
mean_absolute_error
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mean_absolute_error
0.20400266716055707
mean_absolute_error
0.2091625871016814
mean_absolute_error
0.20956399856359068
mean_absolute_error
0.20972745479859245
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.2751980793000754
mean_prior_absolute_error
0.27532998006860815
mean_prior_absolute_error
0.27532998006860815
number_of_instances
838 [700,138]
number_of_instances
838 [700,138]
number_of_instances
838 [700,138]
number_of_instances
838 [700,138]
number_of_instances
838 [700,138]
number_of_instances
838 [700,138]
number_of_instances
838 [700,138]
number_of_instances
838 [700,138]
number_of_instances
837 [699,138]
number_of_instances
837 [699,138]
precision
0.830463484014072 [0.876963,0.594595]
precision
0.8246136289733789 [0.868895,0.6]
precision
0.8573365018042951 [0.879332,0.745763]
precision
0.8322502469461504 [0.871465,0.633333]
precision
0.8414111432828949 [0.869289,0.7]
precision
0.8472718390581088 [0.877577,0.693548]
precision
0.8283015642903718 [0.869231,0.62069]
precision
0.8435848023912046 [0.881201,0.652778]
precision
0.8420082973499281 [0.88189,0.64]
precision
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predictive_accuracy
0.8520286396181385
predictive_accuracy
0.8496420047732697
predictive_accuracy
0.869928400954654
predictive_accuracy
0.8544152744630071
predictive_accuracy
0.8591885441527447
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.8602150537634408
predictive_accuracy
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prior_entropy
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prior_entropy
0.6456632985956458
prior_entropy
0.6456632985956458
prior_entropy
0.6456632985956458
recall
0.8520286396181385 [0.957143,0.318841]
recall
0.8496420047732697 [0.965714,0.26087]
recall
0.869928400954654 [0.978571,0.318841]
recall
0.8544152744630071 [0.968571,0.275362]
recall
0.8591885441527446 [0.978571,0.253623]
recall
0.863961813842482 [0.972857,0.311594]
recall
0.8520286396181385 [0.968571,0.26087]
recall
0.8615751789976134 [0.964286,0.34058]
recall
0.8602150537634409 [0.961373,0.347826]
recall
0.8590203106332138 [0.968526,0.304348]
relative_absolute_error
0.7717725866683096
relative_absolute_error
0.758449889347371
relative_absolute_error
0.7539762850787994
relative_absolute_error
0.7717960372001904
relative_absolute_error
0.7221200307051018
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.7611375939204674
relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.37088952439813466
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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