Run
434769

Run 434769

Task 64 (Learning Curve) labor 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
0.9493 ± 0.0874
Per class
F measure
0.913 ± 0.1027
Per class
Kappa
0.8071 ± 0.2781
KB relative information score
0.8076 ± 0.2592
Mean absolute error
0.0843 ± 0.1095
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9142 ± 0.0651
Per class
Predictive accuracy
0.914 ± 0.1112
Prior entropy
0.9349 ± 0.0618
Recall
0.914 ± 0.1112
Per class
Relative absolute error
0.1845 ± 0.2452
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.2867 ± 0.2218
Root relative squared error
0.6007 ± 0.4702
SciMark benchmark
941.3619
UserCPU time millis
10
UserCPU time millis training
10