DEVELOPMENT... OpenML
Run
131125

Run 131125

Task 284 (Supervised Classification) hepatitis Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(2)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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

21 Evaluation measures

Area under ROC curve
0.8178
Per class
Build CPU time
0.03
Build memory
1287967776
F measure
0.7817
Per class
Kappa
0.3914
KB relative information score
11.0965
Mean absolute error
0.2705
Mean prior absolute error
0.3579
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7917
Per class
Predictive accuracy
0.8039
Prior entropy
0.7418
Recall
0.8039
Per class
Relative absolute error
0.7558
Root mean prior squared error
0.4381
Root mean squared error
0.382
Root relative squared error
0.8719
SciMark benchmark
937.5757