Run
434853

Run 434853

Task 2102 (Learning Curve) eucalyptus Uploaded 12-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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.

20 Evaluation measures

Area under ROC curve
0.739 ± 0.0217
Per class
Kappa
0.3028 ± 0.0309
KB relative information score
0.3126 ± 0.0195
Mean absolute error
0.2472 ± 0.0073
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.4946 ± 0.0236
Prior entropy
2.2621 ± 0.0043
Recall
0.4946 ± 0.0236
Per class
Relative absolute error
0.7891 ± 0.023
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3532 ± 0.0071
Root relative squared error
0.8926 ± 0.0177
SciMark benchmark
941.3619
UserCPU time millis
10
UserCPU time millis training
10