8778575
4009
Vishal Chouskey
29
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)
6753892
categorical_features
[0, 3, 4, 5, 6, 8, 9, 11, 12]
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
"gini"
7257
max_depth
null
7257
max_features
0.20394995470289726
7257
max_leaf_nodes
null
7257
min_impurity_split
1e-07
7257
min_samples_leaf
6
7257
min_samples_split
5
7257
min_weight_fraction_leaf
0.0
7257
n_estimators
10
7257
n_jobs
1
7257
oob_score
false
7257
random_state
28753
7257
verbose
0
7257
warm_start
false
7257
threshold
0.0
7345
axis
0
7660
categorical_features
[0, 3, 4, 5, 6, 8, 9, 11, 12]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"most_frequent"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
openml-pimp
openml-python
Sklearn_0.18.2.
29
credit-approval
https://www.openml.org/data/download/29/dataset_29_credit-a.arff
-1
18473371
description
https://api.openml.org/data/download/18473371/description.xml
-1
18473372
predictions
https://api.openml.org/data/download/18473372/predictions.arff
area_under_roc_curve
0.9262848589482994 [0.926285,0.926285]
average_cost
0
f_measure
0.8654784657529506 [0.852146,0.876165]
kappa
0.7284407241580689
kb_relative_information_score
405.53236268432136
mean_absolute_error
0.21805036612255646
mean_prior_absolute_error
0.49395157912373255
number_of_instances
690 [307,383]
precision
0.8665592087496624 [0.832298,0.894022]
predictive_accuracy
0.8652173913043478
prior_entropy
0.9912816166382369
recall
0.8652173913043478 [0.872964,0.859008]
relative_absolute_error
0.4414407713998538
root_mean_prior_squared_error
0.4969577940522424
root_mean_squared_error
0.3193156292710778
root_relative_squared_error
0.642540741070478
total_cost
0
area_under_roc_curve
0.9051282051282051 [0.905128,0.905128]
area_under_roc_curve
0.9470085470085471 [0.947009,0.947009]
area_under_roc_curve
0.9162393162393163 [0.916239,0.916239]
area_under_roc_curve
0.852716468590832 [0.852716,0.852716]
area_under_roc_curve
0.9753820033955856 [0.975382,0.975382]
area_under_roc_curve
0.9702886247877758 [0.970289,0.970289]
area_under_roc_curve
0.9269949066213922 [0.926995,0.926995]
area_under_roc_curve
0.8828522920203734 [0.882852,0.882852]
area_under_roc_curve
0.9550084889643463 [0.955008,0.955008]
area_under_roc_curve
0.9499151103565366 [0.949915,0.949915]
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
0.8700621118012422 [0.857143,0.88]
f_measure
0.8989783295917899 [0.892308,0.90411]
f_measure
0.8393366669491764 [0.807018,0.864198]
f_measure
0.7828847481021394 [0.761905,0.8]
f_measure
0.9418060200668897 [0.933333,0.948718]
f_measure
0.8988072876101464 [0.892308,0.90411]
f_measure
0.8553784763023894 [0.84375,0.864865]
f_measure
0.812070676990272 [0.8,0.821918]
f_measure
0.8986795491143318 [0.888889,0.906667]
f_measure
0.8553784763023894 [0.84375,0.864865]
kappa
0.7376425855513308
kappa
0.7974842767295598
kappa
0.6718547341115434
kappa
0.5619974608548457
kappa
0.8821520068317676
kappa
0.7968026924694994
kappa
0.708860759493671
kappa
0.6226335717290704
kappa
0.7955988150655946
kappa
0.708860759493671
kb_relative_information_score
40.19771655524051
kb_relative_information_score
42.548720534916
kb_relative_information_score
40.24377287884659
kb_relative_information_score
31.482163662795337
kb_relative_information_score
47.48246732859019
kb_relative_information_score
44.970587573062495
kb_relative_information_score
39.90383275928068
kb_relative_information_score
36.562395079183915
kb_relative_information_score
42.10934497501261
kb_relative_information_score
40.03136133739289
mean_absolute_error
0.2196333897429783
mean_absolute_error
0.20403573592064583
mean_absolute_error
0.21283613620427924
mean_absolute_error
0.2785643937343382
mean_absolute_error
0.17520688083752392
mean_absolute_error
0.18719366296194573
mean_absolute_error
0.22440711723127774
mean_absolute_error
0.24282895268122778
mean_absolute_error
0.21111719327280648
mean_absolute_error
0.22468019863854014
mean_prior_absolute_error
0.49283739633073687
mean_prior_absolute_error
0.49283739633073687
mean_prior_absolute_error
0.49283739633073687
mean_prior_absolute_error
0.4944290860350177
mean_prior_absolute_error
0.4944290860350177
mean_prior_absolute_error
0.4944290860350177
mean_prior_absolute_error
0.4944290860350177
mean_prior_absolute_error
0.4944290860350177
mean_prior_absolute_error
0.4944290860350177
mean_prior_absolute_error
0.4944290860350177
number_of_instances
69 [30,39]
number_of_instances
69 [30,39]
number_of_instances
69 [30,39]
number_of_instances
69 [31,38]
number_of_instances
69 [31,38]
number_of_instances
69 [31,38]
number_of_instances
69 [31,38]
number_of_instances
69 [31,38]
number_of_instances
69 [31,38]
number_of_instances
69 [31,38]
precision
0.8738471673254282 [0.818182,0.916667]
precision
0.9088417975886006 [0.828571,0.970588]
precision
0.8413848631239936 [0.851852,0.833333]
precision
0.7834900117508814 [0.75,0.810811]
precision
0.9432033983008496 [0.965517,0.925]
precision
0.902460114480575 [0.852941,0.942857]
precision
0.8571219440784659 [0.818182,0.888889]
precision
0.81561320180246 [0.764706,0.857143]
precision
0.8991872307089699 [0.875,0.918919]
precision
0.8571219440784659 [0.818182,0.888889]
predictive_accuracy
0.8695652173913043
predictive_accuracy
0.8985507246376812
predictive_accuracy
0.8405797101449275
predictive_accuracy
0.782608695652174
predictive_accuracy
0.9420289855072465
predictive_accuracy
0.8985507246376812
predictive_accuracy
0.855072463768116
predictive_accuracy
0.8115942028985508
predictive_accuracy
0.8985507246376812
predictive_accuracy
0.855072463768116
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
prior_entropy
0.9912816166382369
recall
0.8695652173913043 [0.9,0.846154]
recall
0.8985507246376812 [0.966667,0.846154]
recall
0.8405797101449275 [0.766667,0.897436]
recall
0.782608695652174 [0.774194,0.789474]
recall
0.9420289855072463 [0.903226,0.973684]
recall
0.8985507246376812 [0.935484,0.868421]
recall
0.855072463768116 [0.870968,0.842105]
recall
0.8115942028985508 [0.83871,0.789474]
recall
0.8985507246376812 [0.903226,0.894737]
recall
0.855072463768116 [0.870968,0.842105]
relative_absolute_error
0.44565081988134103
relative_absolute_error
0.41400213831119276
relative_absolute_error
0.43185873837676
relative_absolute_error
0.5634061619801409
relative_absolute_error
0.35436200212767216
relative_absolute_error
0.37860568532306743
relative_absolute_error
0.4538711891544831
relative_absolute_error
0.4911299912158274
relative_absolute_error
0.42699185633640946
relative_absolute_error
0.45442350578587787
root_mean_prior_squared_error
0.4958355234110137
root_mean_prior_squared_error
0.4958355234110137
root_mean_prior_squared_error
0.4958355234110137
root_mean_prior_squared_error
0.49743799209605494
root_mean_prior_squared_error
0.49743799209605494
root_mean_prior_squared_error
0.49743799209605494
root_mean_prior_squared_error
0.49743799209605494
root_mean_prior_squared_error
0.49743799209605494
root_mean_prior_squared_error
0.49743799209605494
root_mean_prior_squared_error
0.49743799209605494
root_mean_squared_error
0.3264426724050473
root_mean_squared_error
0.30132902055067196
root_mean_squared_error
0.33361435368848563
root_mean_squared_error
0.39475570979062685
root_mean_squared_error
0.24912474028932283
root_mean_squared_error
0.2758765688235099
root_mean_squared_error
0.3222252321738007
root_mean_squared_error
0.3645556877668421
root_mean_squared_error
0.29054992883149194
root_mean_squared_error
0.3095317079863152
root_relative_squared_error
0.6583688682878993
root_relative_squared_error
0.6077197101121995
root_relative_squared_error
0.6728326994271084
root_relative_squared_error
0.793577724385796
root_relative_squared_error
0.5008156679782051
root_relative_squared_error
0.5545948906336016
root_relative_squared_error
0.6477696462548829
root_relative_squared_error
0.7328665955543795
root_relative_squared_error
0.5840927581892196
root_relative_squared_error
0.6222518442591027
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
58.556109000164724
usercpu_time_millis
56.47528899999088
usercpu_time_millis
53.708022999899185
usercpu_time_millis
49.47880300028373
usercpu_time_millis
47.10609700009627
usercpu_time_millis
48.30814799993277
usercpu_time_millis
57.68480400001863
usercpu_time_millis
51.03761600025791
usercpu_time_millis
58.85905399986768
usercpu_time_millis
47.47252899983323
usercpu_time_millis_testing
5.7962360001511115
usercpu_time_millis_testing
5.758115000162434
usercpu_time_millis_testing
5.108578999852398
usercpu_time_millis_testing
4.62325100011185
usercpu_time_millis_testing
4.922865000025922
usercpu_time_millis_testing
4.774481999902491
usercpu_time_millis_testing
6.001055000069755
usercpu_time_millis_testing
5.078111000102581
usercpu_time_millis_testing
5.314924000003884
usercpu_time_millis_testing
4.628289999800472
usercpu_time_millis_training
52.75987300001361
usercpu_time_millis_training
50.71717399982845
usercpu_time_millis_training
48.59944400004679
usercpu_time_millis_training
44.85555200017188
usercpu_time_millis_training
42.18323200007035
usercpu_time_millis_training
43.53366600003028
usercpu_time_millis_training
51.683748999948875
usercpu_time_millis_training
45.95950500015533
usercpu_time_millis_training
53.5441299998638
usercpu_time_millis_training
42.84423900003276