Run
57595

Run 57595

Task 1731 (Learning Curve) pendigits Uploaded 13-11-2014 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.AdaBoostM1_RandomTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9728 ± 0.0053
Per class
Build CPU time
0.0128
Build memory
1562838651.1
F measure
0.9511 ± 0.0095
Per class
Kappa
0.9456 ± 0.0105
KB relative information score
0.9489 ± 0.0099
Mean absolute error
0.0098 ± 0.0019
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9511 ± 0.0093
Per class
Predictive accuracy
0.9511 ± 0.0095
Prior entropy
3.3208 ± 0.0002
Recall
0.9511 ± 0.0095
Per class
Relative absolute error
0.0544 ± 0.0105
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0989 ± 0.0096
Root relative squared error
0.3298 ± 0.0322
SciMark benchmark
1896.1731