Run
53576

Run 53576

Task 1702 (Learning Curve) kr-vs-kp Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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.

21 Evaluation measures

Area under ROC curve
0.907 ± 0.0587
Per class
Build CPU time
0.0183
Build memory
5874334511.7333
F measure
0.6233 ± 0.0211
Per class
Kappa
0.3396 ± 0.0287
KB relative information score
0.3569 ± 0.0482
Mean absolute error
0.3169 ± 0.0264
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8015 ± 0.0052
Per class
Predictive accuracy
0.6605 ± 0.0156
Prior entropy
0.9986 ± 0.0002
Recall
0.6605 ± 0.0156
Per class
Relative absolute error
0.6351 ± 0.053
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.4647 ± 0.0162
Root relative squared error
0.9304 ± 0.0326
SciMark benchmark
1676.6751