7828734
2702
OpenML_Bot R
31
Supervised Classification
6766
mlr.classif.glmnet(11)
5860427
alpha
0.581517240498215
6766
s
0.01
6766
lambda
54.0910023946425
6766
openml.seed
1
6766
openml.kind
Mersenne-Twister
6766
openml.normal.kind
Inversion
6766
AzureBot1
botV1
mlrRandomBot
sciBenchV1.0
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
16581267
description
https://api.openml.org/data/download/16581267/descriptione87137e63391.xml
-1
16581268
predictions
https://api.openml.org/data/download/16581268/predictionse8712a1642bc.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
f_measure
0.576471 [0.823529,0]
kappa
0
kb_relative_information_score
0.37333
mean_absolute_error
0.42
mean_prior_absolute_error
0.42016
number_of_instances
1000 [700,300]
precision
0.49 [0.7,0]
predictive_accuracy
0.7
prior_entropy
0.881778
recall
0.7 [1,0]
relative_absolute_error
0.99962
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.458258
root_relative_squared_error
1
scimark_benchmark
1332.94512594144 [ 1352.3572583809, 915.624234625754, 455.381526319026, 1732.59467526408, 2208.76793511744 ]
total_cost
0
usercpu_time_millis
0.43099999999999
usercpu_time_millis_testing
0.127000000000002
usercpu_time_millis_training
0.303999999999988
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
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
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
f_measure
0.576471 [0.823529,0]
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
kb_relative_information_score
0.037333
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_absolute_error
0.42
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
mean_prior_absolute_error
0.42016
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
precision
0.49 [0.7,0]
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
prior_entropy
0.881778
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
recall
0.7 [1,0]
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
relative_absolute_error
0.99962
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_prior_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_mean_squared_error
0.458258
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
root_relative_squared_error
1
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