Run
434783

Run 434783

Task 74 (Learning Curve) breast-w 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
0.9865 ± 0.0132
Per class
F measure
0.9542 ± 0.0238
Per class
Kappa
0.8985 ± 0.053
KB relative information score
0.8946 ± 0.0533
Mean absolute error
0.0457 ± 0.023
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9542 ± 0.0233
Per class
Predictive accuracy
0.9542 ± 0.0237
Prior entropy
0.9293 ± 0.0041
Recall
0.9542 ± 0.0237
Per class
Relative absolute error
0.1011 ± 0.0508
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.2063 ± 0.0639
Root relative squared error
0.434 ± 0.1342
SciMark benchmark
938.0833
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80