Run
51015

Run 51015

Task 1702 (Learning Curve) kr-vs-kp Uploaded 06-11-2014 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.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(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
0.67 ± 0.0143
Per class
Build CPU time
0.0057
Build memory
589609730.9333
F measure
0.6233 ± 0.0211
Per class
Kappa
0.3396 ± 0.0287
KB relative information score
0.2111 ± 0.018
Mean absolute error
0.3972 ± 0.0085
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8015 ± 0.0052
Per class
Predictive accuracy
0.6605 ± 0.0156
Prior entropy
0.9986 ± 0.0002
Recall
0.6605 ± 0.0156
Per class
Relative absolute error
0.796 ± 0.0171
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.4455 ± 0.0057
Root relative squared error
0.8919 ± 0.0116
SciMark benchmark
1651.8608