DEVELOPMENT... OpenML
Run
163860

Run 163860

Task 42 (Supervised Classification) haberman Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.6559
Per class
F measure
0.7185
Per class
Kappa
0.2358
KB relative information score
83.5927
Mean absolute error
0.2614
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7187
Per class
Predictive accuracy
0.7484
Prior entropy
0.836
Recall
0.7484
Per class
Relative absolute error
0.6703
Root mean prior squared error
0.4412
Root mean squared error
0.4578
Root relative squared error
1.0378
SciMark benchmark
926.6717
UserCPU time millis
20
UserCPU time millis training
20