10417275
4030
Gabriel Ferrettini
190405
Supervised Classification
predictive_accuracy
7838
weka.kf.AdaBoostM1-NaiveBayes(1)
6833449
mDataExp
Modelage
42169
epiparo_extract
https://www.openml.org/data/download/21754583/epiparo_extract.arff
-1
21756638
description
https://api.openml.org/data/download/21756638/description5872551782690275201.xml
-1
21756639
predictions
https://api.openml.org/data/download/21756639/predictions4430709450441306607.arff
area_under_roc_curve
0.7877346137058053 [0.787735,0.787735]
average_cost
0
f_measure
0.7748103817783852 [0.694611,0.818505]
kappa
0.5139550714771954
kb_relative_information_score
0.3565966550482624
mean_absolute_error
0.3015341116071428
mean_prior_absolute_error
0.45697692793931727
number_of_instances
224 [79,145]
precision
0.7798146247135218 [0.659091,0.845588]
predictive_accuracy
0.7723214285714286
prior_entropy
0.9364428886040052
recall
0.7723214285714286 [0.734177,0.793103]
relative_absolute_error
0.6598453733033629
root_mean_prior_squared_error
0.47780550059011323
root_mean_squared_error
0.43174122516474417
root_relative_squared_error
0.9035919942979364
total_cost
0
area_under_roc_curve
0.8583333333333334 [0.858333,0.858333]
area_under_roc_curve
0.8416666666666667 [0.841667,0.841667]
area_under_roc_curve
0.9083333333333333 [0.908333,0.908333]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.9285714285714287 [0.928571,0.928571]
area_under_roc_curve
0.9285714285714287 [0.928571,0.928571]
area_under_roc_curve
0.7142857142857143 [0.714286,0.714286]
area_under_roc_curve
0.5758928571428572 [0.575893,0.575893]
area_under_roc_curve
0.7276785714285713 [0.727679,0.727679]
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
0.8295376121463076 [0.777778,0.857143]
f_measure
0.8673211781206172 [0.8,0.903226]
f_measure
0.8260869565217391 [0.75,0.866667]
f_measure
0.7391304347826086 [0.625,0.8]
f_measure
0.7763845350052246 [0.666667,0.827586]
f_measure
0.8651218062982768 [0.823529,0.888889]
f_measure
0.9106449106449106 [0.888889,0.923077]
f_measure
0.7168831168831169 [0.571429,0.8]
f_measure
0.5454545454545454 [0.375,0.642857]
f_measure
0.6363636363636364 [0.636364,0.636364]
kappa
0.6377952755905513
kappa
0.7038626609442059
kappa
0.6166666666666667
kappa
0.4249999999999999
kappa
0.4954128440366973
kappa
0.7130434782608696
kappa
0.8135593220338982
kappa
0.37735849056603776
kappa
0.017857142857142797
kappa
0.32307692307692304
kb_relative_information_score
0.3795881679073034
kb_relative_information_score
0.46370866174841274
kb_relative_information_score
0.567385330309633
kb_relative_information_score
0.2362719859385678
kb_relative_information_score
0.27301781239256095
kb_relative_information_score
0.6377994172139224
kb_relative_information_score
0.4985106871196007
kb_relative_information_score
0.24758516897500976
kb_relative_information_score
0.028477328984300502
kb_relative_information_score
0.22345554847073162
mean_absolute_error
0.30315099999999995
mean_absolute_error
0.26818995652173916
mean_absolute_error
0.1957638695652174
mean_absolute_error
0.35728052173913044
mean_absolute_error
0.3361461363636364
mean_absolute_error
0.16571454545454548
mean_absolute_error
0.2637329545454546
mean_absolute_error
0.3551135454545454
mean_absolute_error
0.4295929545454545
mean_absolute_error
0.3443715909090909
mean_prior_absolute_error
0.45555983070411693
mean_prior_absolute_error
0.45555983070411693
mean_prior_absolute_error
0.45555983070411693
mean_prior_absolute_error
0.45555983070411693
mean_prior_absolute_error
0.4469026548672566
mean_prior_absolute_error
0.46017699115044247
mean_prior_absolute_error
0.46017699115044247
mean_prior_absolute_error
0.46017699115044247
mean_prior_absolute_error
0.46017699115044247
mean_prior_absolute_error
0.46017699115044247
number_of_instances
23 [8,15]
number_of_instances
23 [8,15]
number_of_instances
23 [8,15]
number_of_instances
23 [8,15]
number_of_instances
22 [7,15]
number_of_instances
22 [8,14]
number_of_instances
22 [8,14]
number_of_instances
22 [8,14]
number_of_instances
22 [8,14]
number_of_instances
22 [8,14]
precision
0.845484949832776 [0.7,0.923077]
precision
0.8687888198757764 [0.857143,0.875]
precision
0.8260869565217391 [0.75,0.866667]
precision
0.7391304347826086 [0.625,0.8]
precision
0.7832792207792206 [0.625,0.857143]
precision
0.8702408702408703 [0.777778,0.923077]
precision
0.9272727272727272 [0.8,1]
precision
0.7196969696969696 [0.666667,0.75]
precision
0.5454545454545454 [0.375,0.642857]
precision
0.7386363636363636 [0.5,0.875]
predictive_accuracy
0.826086956521739
predictive_accuracy
0.8695652173913043
predictive_accuracy
0.826086956521739
predictive_accuracy
0.7391304347826088
predictive_accuracy
0.7727272727272727
predictive_accuracy
0.8636363636363636
predictive_accuracy
0.9090909090909091
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.5454545454545454
predictive_accuracy
0.6363636363636364
prior_entropy
0.9322314344891376
prior_entropy
0.9322314344891376
prior_entropy
0.9322314344891376
prior_entropy
0.9322314344891376
prior_entropy
0.9065032784419245
prior_entropy
0.9459531177143178
prior_entropy
0.9459531177143178
prior_entropy
0.9459531177143178
prior_entropy
0.9459531177143178
prior_entropy
0.9459531177143178
recall
0.8260869565217391 [0.875,0.8]
recall
0.8695652173913043 [0.75,0.933333]
recall
0.8260869565217391 [0.75,0.866667]
recall
0.7391304347826086 [0.625,0.8]
recall
0.7727272727272727 [0.714286,0.8]
recall
0.8636363636363636 [0.875,0.857143]
recall
0.9090909090909091 [1,0.857143]
recall
0.7272727272727273 [0.5,0.857143]
recall
0.5454545454545454 [0.375,0.642857]
recall
0.6363636363636364 [0.875,0.5]
relative_absolute_error
0.6654471697635134
relative_absolute_error
0.5887041359797299
relative_absolute_error
0.4297215346283785
relative_absolute_error
0.7842669560810811
relative_absolute_error
0.7521685823582358
relative_absolute_error
0.3601104545454546
relative_absolute_error
0.5731119973776225
relative_absolute_error
0.7716890506993005
relative_absolute_error
0.9335385358391606
relative_absolute_error
0.7483459571678321
root_mean_prior_squared_error
0.47632026952353035
root_mean_prior_squared_error
0.47632026952353035
root_mean_prior_squared_error
0.47632026952353035
root_mean_prior_squared_error
0.47632026952353035
root_mean_prior_squared_error
0.46714432814935075
root_mean_prior_squared_error
0.4811425564271925
root_mean_prior_squared_error
0.4811425564271925
root_mean_prior_squared_error
0.4811425564271925
root_mean_prior_squared_error
0.4811425564271925
root_mean_prior_squared_error
0.4811425564271925
root_mean_squared_error
0.38313834622467974
root_mean_squared_error
0.3468993078408752
root_mean_squared_error
0.388677704433165
root_mean_squared_error
0.44514967116231036
root_mean_squared_error
0.42644564156018977
root_mean_squared_error
0.31526896562156403
root_mean_squared_error
0.31919343299628594
root_mean_squared_error
0.4541636738676928
root_mean_squared_error
0.5874330913325364
root_mean_squared_error
0.5648358370580301
root_relative_squared_error
0.8043712828092288
root_relative_squared_error
0.7282900393633958
root_relative_squared_error
0.816000765245545
root_relative_squared_error
0.9345595802748424
root_relative_squared_error
0.9128777036630333
root_relative_squared_error
0.6552506349940201
root_relative_squared_error
0.663407193424153
root_relative_squared_error
0.9439274655731223
root_relative_squared_error
1.2209127700002733
root_relative_squared_error
1.173946950883573
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