Run
434778

Run 434778

Task 72 (Learning Curve) breast-cancer Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I80
weka.MultiBoostAB_DecisionStump(3)_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
0.6811 ± 0.0981
Per class
F measure
0.7005 ± 0.078
Per class
Kappa
0.2557 ± 0.1862
KB relative information score
0.2643 ± 0.1591
Mean absolute error
0.288 ± 0.0604
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6981 ± 0.0929
Per class
Predictive accuracy
0.7206 ± 0.0736
Prior entropy
0.8779 ± 0.0199
Recall
0.7206 ± 0.0736
Per class
Relative absolute error
0.6884 ± 0.1413
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4916 ± 0.0626
Root relative squared error
1.0757 ± 0.1329
SciMark benchmark
929.4364
UserCPU time millis
20
UserCPU time millis training
20