DEVELOPMENT... OpenML
Run
20161

Run 20161

Task 54 (Supervised Classification) hepatitis Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(1)_I10
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8022
Per class
F measure
0.7935
Per class
Kappa
0.3699
KB relative information score
40.669
Mean absolute error
0.2106
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7935
Per class
Predictive accuracy
0.7935
Prior entropy
0.7418
Recall
0.7935
Per class
Relative absolute error
0.6385
Root mean prior squared error
0.4048
Root mean squared error
0.4192
Root relative squared error
1.0356
SciMark benchmark
942.1844[558.87235220088451012.8541257252805481.0671525802613907.70082742804311750.4274146326452]