Run
57587

Run 57587

Task 1705 (Learning Curve) letter 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_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9995 ± 0.0002
Per class
Build CPU time
2.6489
Build memory
3504820187.9111
F measure
0.9641 ± 0.0039
Per class
Kappa
0.9627 ± 0.004
KB relative information score
0.923 ± 0.003
Mean absolute error
0.0131 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9644 ± 0.0037
Per class
Predictive accuracy
0.9641 ± 0.0039
Prior entropy
4.6998 ± 0.0001
Recall
0.9641 ± 0.0039
Per class
Relative absolute error
0.1768 ± 0.0054
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0622 ± 0.0014
Root relative squared error
0.3236 ± 0.0072
SciMark benchmark
1645.4276