Run
46788

Run 46788

Task 1701 (Learning Curve) anneal Uploaded 04-11-2014 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_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9571 ± 0.0215
Per class
Build CPU time
0.0256
Build memory
144325664.6222
F measure
0.95 ± 0.0184
Per class
Kappa
0.8749 ± 0.0441
KB relative information score
0.8717 ± 0.0502
Mean absolute error
0.017 ± 0.006
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9504 ± 0.0195
Per class
Predictive accuracy
0.9499 ± 0.0167
Prior entropy
1.1915 ± 0.026
Recall
0.9499 ± 0.0167
Per class
Relative absolute error
0.1266 ± 0.0451
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1288 ± 0.0222
Root relative squared error
0.4987 ± 0.0855
SciMark benchmark
1495.1153