DEVELOPMENT... OpenML
Run
161426

Run 161426

Task 15 (Supervised Classification) breast-w 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)_I10
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
0.9828
Per class
F measure
0.9542
Per class
Kappa
0.8987
KB relative information score
613.3719
Mean absolute error
0.0534
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9542
Per class
Predictive accuracy
0.9542
Prior entropy
0.9297
Recall
0.9542
Per class
Relative absolute error
0.1181
Root mean prior squared error
0.4753
Root mean squared error
0.2143
Root relative squared error
0.4508
SciMark benchmark
933.8635
UserCPU time millis
20
UserCPU time millis training
20