DEVELOPMENT... OpenML
Run
36032

Run 36032

Task 1934 (Supervised Classification) hepatitis Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I10
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7864
Per class
Build CPU time
0.0487
Build memory
1321868168.8465
F measure
0.82
Per class
Kappa
0.4301
KB relative information score
586.9174
Mean absolute error
0.1757
Mean prior absolute error
0.3299
Number of instances
1550
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8162
Per class
Predictive accuracy
0.8277
Prior entropy
0.7418
Recall
0.8277
Per class
Relative absolute error
0.5326
Root mean prior squared error
0.4048
Root mean squared error
0.4082
Root relative squared error
1.0085
SciMark benchmark
941.5665