Run
434793

Run 434793

Task 1764 (Learning Curve) electricity 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)_I40
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
0.839 ± 0.0057
Per class
F measure
0.7496 ± 0.0058
Per class
Kappa
0.4863 ± 0.0114
KB relative information score
0.4958 ± 0.0095
Mean absolute error
0.2452 ± 0.0046
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7681 ± 0.005
Per class
Predictive accuracy
0.7589 ± 0.005
Prior entropy
0.9835 ± 0
Recall
0.7589 ± 0.005
Per class
Relative absolute error
0.5017 ± 0.0094
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4697 ± 0.0053
Root relative squared error
0.9503 ± 0.0108
SciMark benchmark
938.3789
UserCPU time millis
5710
UserCPU time millis testing
70
UserCPU time millis training
5640