Run
434877

Run 434877

Task 65 (Learning Curve) arrhythmia 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)_I160
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.

20 Evaluation measures

Area under ROC curve
0.6396 ± 0.0458
Per class
Kappa
0.1913 ± 0.0685
KB relative information score
-0.1082 ± 0.0581
Mean absolute error
0.1132 ± 0.0078
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.5546 ± 0.0306
Prior entropy
2.4124 ± 0.056
Recall
0.5546 ± 0.0306
Per class
Relative absolute error
1.3237 ± 0.0927
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.236 ± 0.0079
Root relative squared error
1.1484 ± 0.0402
SciMark benchmark
913.9348
UserCPU time millis
70
UserCPU time millis training
70