Run
64742

Run 64742

Task 1701 (Learning Curve) anneal Uploaded 18-11-2014 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.

19 Evaluation measures

Area under ROC curve
0.977 ± 0.0128
Per class
Build CPU time
5.6104
Build memory
920454048.6222
Kappa
0.7887 ± 0.0477
KB relative information score
0.769 ± 0.0492
Mean absolute error
0.0265 ± 0.0056
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.9187 ± 0.0176
Prior entropy
1.1915 ± 0.026
Recall
0.9187 ± 0.0176
Per class
Relative absolute error
0.1975 ± 0.0422
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1572 ± 0.0162
Root relative squared error
0.6089 ± 0.063
SciMark benchmark
1885.6155