8871211
710
William Raynaut
146176
Supervised Classification
precision
7800
weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1)
6833272
mDataExp
Modelage
study_107
40648
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1
https://www.openml.org/data/download/4965217/GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1.arff
-1
18658233
description
https://api.openml.org/data/download/18658233/description5670773856614689637.xml
-1
18658234
predictions
https://api.openml.org/data/download/18658234/predictions1692785563652386445.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
f_measure
0.333333 [0.666667,0]
kappa
0
kb_relative_information_score
0
mean_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
1600 [800,800]
precision
0.25 [0.5,0]
predictive_accuracy
0.5
prior_entropy
1
recall
0.5 [1,0]
relative_absolute_error
1
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5
root_relative_squared_error
1
total_cost
0
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
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
f_measure
0.333333 [0.666667,0]
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
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
0
kb_relative_information_score
0
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
number_of_instances
160 [80,80]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
precision
0.25 [0.5,0]
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
recall
0.5 [1,0]
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
relative_absolute_error
1
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_mean_squared_error
0.5
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