Run
47236

Run 47236

Task 1757 (Learning Curve) waveform-5000 Uploaded 05-11-2014 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.7229 ± 0.0235
Per class
Build CPU time
0.0765
Build memory
1180535583.7714
F measure
0.5356 ± 0.0247
Per class
Kappa
0.3203 ± 0.0385
KB relative information score
0.3472 ± 0.0163
Mean absolute error
0.3247 ± 0.0072
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5307 ± 0.0257
Per class
Predictive accuracy
0.5466 ± 0.0256
Prior entropy
1.5849 ± 0
Recall
0.5466 ± 0.0256
Per class
Relative absolute error
0.7306 ± 0.0163
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4534 ± 0.0206
Root relative squared error
0.9618 ± 0.0437
SciMark benchmark
1445.6628