DEVELOPMENT... OpenML
Run
48433

Run 48433

Task 1742 (Learning Curve) spambase Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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
0.9876 ± 0.0037
Per class
Build CPU time
0.4749
Build memory
3636101202.4571
F measure
0.9551 ± 0.008
Per class
Kappa
0.9058 ± 0.0169
KB relative information score
0.8095 ± 0.0142
Mean absolute error
0.1018 ± 0.0065
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9552 ± 0.0081
Per class
Predictive accuracy
0.9552 ± 0.008
Prior entropy
0.9674 ± 0.0006
Recall
0.9552 ± 0.008
Per class
Relative absolute error
0.2132 ± 0.0137
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.1949 ± 0.0129
Root relative squared error
0.3989 ± 0.0265
SciMark benchmark
1729.8248