8892496
710
William Raynaut
3808
Supervised Classification
predictive_accuracy
8299
weka.kf.AdaBoostM1-HoeffdingTree(1)
6835583
mDataExp
Modelage
study_107
945
kidney
https://www.openml.org/data/download/53479/kidney.arff
-1
18700766
description
https://api.openml.org/data/download/18700766/description928560267230348171.xml
-1
18700767
predictions
https://api.openml.org/data/download/18700767/predictions4897472163249486849.arff
area_under_roc_curve
0.729861 [0.729861,0.729861]
average_cost
0
f_measure
0.670768 [0.666667,0.675325]
kappa
0.344828
kb_relative_information_score
23.491352
mean_absolute_error
0.350217
mean_prior_absolute_error
0.49865
number_of_instances
76 [40,36]
precision
0.676325 [0.714286,0.634146]
predictive_accuracy
0.671053
prior_entropy
0.998102
recall
0.671053 [0.625,0.722222]
relative_absolute_error
0.702329
root_mean_prior_squared_error
0.499307
root_mean_squared_error
0.48027
root_relative_squared_error
0.961873
total_cost
0
area_under_roc_curve
0.71875 [0.71875,0.71875]
area_under_roc_curve
0.84375 [0.84375,0.84375]
area_under_roc_curve
0.78125 [0.78125,0.78125]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.78125 [0.78125,0.78125]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.583333 [0.583333,0.583333]
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
0.619048 [0.571429,0.666667]
f_measure
0.75 [0.75,0.75]
f_measure
0.75 [0.75,0.75]
f_measure
0.75 [0.75,0.75]
f_measure
0.733333 [0.666667,0.8]
f_measure
0.619048 [0.571429,0.666667]
f_measure
0.571429 [0.571429,0.571429]
f_measure
0.571429 [0.571429,0.571429]
f_measure
0.671429 [0.8,0.5]
f_measure
0.571429 [0.571429,0.571429]
kappa
0.25
kappa
0.5
kappa
0.5
kappa
0.5
kappa
0.5
kappa
0.25
kappa
0.16
kappa
0.16
kappa
0.363636
kappa
0.16
kb_relative_information_score
1.812312
kb_relative_information_score
4.190334
kb_relative_information_score
3.026573
kb_relative_information_score
3.848049
kb_relative_information_score
3.208197
kb_relative_information_score
2.394444
kb_relative_information_score
1.47898
kb_relative_information_score
1.031945
kb_relative_information_score
2.326335
kb_relative_information_score
0.174181
mean_absolute_error
0.390082
mean_absolute_error
0.252485
mean_absolute_error
0.322104
mean_absolute_error
0.270958
mean_absolute_error
0.312845
mean_absolute_error
0.354671
mean_absolute_error
0.385933
mean_absolute_error
0.421553
mean_absolute_error
0.340958
mean_absolute_error
0.478889
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
0.496337
mean_prior_absolute_error
0.496337
mean_prior_absolute_error
0.496337
mean_prior_absolute_error
0.496337
number_of_instances
8 [4,4]
number_of_instances
8 [4,4]
number_of_instances
8 [4,4]
number_of_instances
8 [4,4]
number_of_instances
8 [4,4]
number_of_instances
8 [4,4]
number_of_instances
7 [4,3]
number_of_instances
7 [4,3]
number_of_instances
7 [4,3]
number_of_instances
7 [4,3]
precision
0.633333 [0.666667,0.6]
precision
0.75 [0.75,0.75]
precision
0.75 [0.75,0.75]
precision
0.75 [0.75,0.75]
precision
0.833333 [1,0.666667]
precision
0.633333 [0.666667,0.6]
precision
0.595238 [0.666667,0.5]
precision
0.595238 [0.666667,0.5]
precision
0.809524 [0.666667,1]
precision
0.595238 [0.666667,0.5]
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.571429
predictive_accuracy
0.571429
predictive_accuracy
0.714286
predictive_accuracy
0.571429
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
prior_entropy
0.998102
recall
0.625 [0.5,0.75]
recall
0.75 [0.75,0.75]
recall
0.75 [0.75,0.75]
recall
0.75 [0.75,0.75]
recall
0.75 [0.5,1]
recall
0.625 [0.5,0.75]
recall
0.571429 [0.5,0.666667]
recall
0.571429 [0.5,0.666667]
recall
0.714286 [1,0.333333]
recall
0.571429 [0.5,0.666667]
relative_absolute_error
0.780165
relative_absolute_error
0.50497
relative_absolute_error
0.644208
relative_absolute_error
0.541915
relative_absolute_error
0.625689
relative_absolute_error
0.709341
relative_absolute_error
0.777563
relative_absolute_error
0.849328
relative_absolute_error
0.686948
relative_absolute_error
0.964846
root_mean_prior_squared_error
0.500657
root_mean_prior_squared_error
0.500657
root_mean_prior_squared_error
0.500657
root_mean_prior_squared_error
0.500657
root_mean_prior_squared_error
0.500657
root_mean_prior_squared_error
0.500657
root_mean_prior_squared_error
0.496985
root_mean_prior_squared_error
0.496985
root_mean_prior_squared_error
0.496985
root_mean_prior_squared_error
0.496985
root_mean_squared_error
0.513118
root_mean_squared_error
0.404923
root_mean_squared_error
0.409269
root_mean_squared_error
0.382587
root_mean_squared_error
0.421275
root_mean_squared_error
0.463656
root_mean_squared_error
0.509556
root_mean_squared_error
0.549014
root_mean_squared_error
0.50111
root_mean_squared_error
0.629775
root_relative_squared_error
1.02489
root_relative_squared_error
0.808782
root_relative_squared_error
0.817463
root_relative_squared_error
0.76417
root_relative_squared_error
0.841444
root_relative_squared_error
0.926095
root_relative_squared_error
1.025293
root_relative_squared_error
1.104688
root_relative_squared_error
1.008298
root_relative_squared_error
1.267191
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