Run
65223

Run 65223

Task 1757 (Learning Curve) waveform-5000 Uploaded 20-11-2014 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_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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
0.8807 ± 0.0118
Per class
Build CPU time
464.6326
Build memory
544825763.6
F measure
0.7146 ± 0.0176
Per class
Kappa
0.5679 ± 0.0168
KB relative information score
0.5596 ± 0.0202
Mean absolute error
0.2236 ± 0.0129
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7429 ± 0.0181
Per class
Predictive accuracy
0.7124 ± 0.0113
Prior entropy
1.5849 ± 0
Recall
0.7124 ± 0.0113
Per class
Relative absolute error
0.503 ± 0.029
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.356 ± 0.0079
Root relative squared error
0.7551 ± 0.0167
SciMark benchmark
1885.6155