75047
2
Joaquin Vanschoren
265
Supervised Classification
predictive_accuracy
532
weka.Bagging_RandomForest(2)
808
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1
I
10
532
P
100
532
S
1
532
W
weka.classifiers.trees.RandomForest
532
num-slots
1
532
I
100
391
K
0
391
S
1
391
num-slots
1
391
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
216236
description
https://api.openml.org/data/download/216236/weka_generated_run8838291862847295583.xml
-1
216239
model_readable
https://api.openml.org/data/download/216239/WekaModel_weka.classifiers.meta.Bagging880839872504044657.model
-1
216238
model_serialized
https://api.openml.org/data/download/216238/WekaSerialized_weka.classifiers.meta.Bagging255123648587940871.model
-1
216237
predictions
https://api.openml.org/data/download/216237/weka_generated_predictions5590111574483490095.arff
area_under_roc_curve
0.999033 [1,0.997,1,0.995687,1,1]
average_cost
0
build_cpu_time
0.313
build_memory
1284677312
f_measure
0.957413 [0.987013,0.904762,1,0.833333,1,0.909091]
kappa
0.94709
kb_relative_information_score
102.142342
mean_absolute_error
0.059937
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.959305 [0.974359,0.863636,1,0.909091,1,1]
predictive_accuracy
0.958333
prior_entropy
2.437791
recall
0.958333 [1,0.95,1,0.769231,1,0.833333]
relative_absolute_error
0.225909
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.125568
root_relative_squared_error
0.345615
scimark_benchmark
942.318656 [549.886720604579, 1012.5880246437401, 482.14720472367435, 905.818919013148, 1761.1524117823017]
total_cost
0
area_under_roc_curve
0.999033 [1,0.997,1,0.995687,1,1]
average_cost
0
build_cpu_time
0.313
build_memory
1284677312
f_measure
0.957413 [0.987013,0.904762,1,0.833333,1,0.909091]
kappa
0.94709
kb_relative_information_score
102.142342
mean_absolute_error
0.059937
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
precision
0.959305 [0.974359,0.863636,1,0.909091,1,1]
predictive_accuracy
0.958333
prior_entropy
2.437791
recall
0.958333 [1,0.95,1,0.769231,1,0.833333]
relative_absolute_error
0.225909
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.125568
root_relative_squared_error
0.345615
total_cost
0