Run
46799

Run 46799

Task 1720 (Learning Curve) car 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
0.9312 ± 0.0292
Per class
Build CPU time
0.0029
Build memory
1428299431.5636
F measure
0.8375 ± 0.0419
Per class
Kappa
0.6455 ± 0.0895
KB relative information score
0.6945 ± 0.0734
Mean absolute error
0.0715 ± 0.0153
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8361 ± 0.0471
Per class
Predictive accuracy
0.842 ± 0.0364
Prior entropy
1.2058 ± 0.0093
Recall
0.842 ± 0.0364
Per class
Relative absolute error
0.3123 ± 0.0668
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.2295 ± 0.0277
Root relative squared error
0.6789 ± 0.0829
SciMark benchmark
1495.1153