DEVELOPMENT... OpenML
Run
147166

Run 147166

Task 54 (Supervised Classification) hepatitis Uploaded 02-02-2015 by Felicia West
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Flow

weka.Bagging_ADTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.Bagging_ADTree(2)_I10
weka.Bagging_ADTree(2)_P100
weka.Bagging_ADTree(2)_S1
weka.Bagging_ADTree(2)_Wweka.classifiers.trees.ADTree
weka.Bagging_ADTree(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.

22 Evaluation measures

Area under ROC curve
0.8145
Per class
F measure
0.8009
Per class
Kappa
0.3627
KB relative information score
29.1105
Mean absolute error
0.2441
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
0.796
Per class
Predictive accuracy
0.8129
Prior entropy
0.7418
Recall
0.8129
Per class
Relative absolute error
0.7401
Root mean prior squared error
0.4048
Root mean squared error
0.3584
Root relative squared error
0.8854
SciMark benchmark
936.6206
UserCPU time millis
90
UserCPU time millis training
90