Run
51024

Run 51024

Task 1715 (Learning Curve) mfeat-karhunen 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.

19 Evaluation measures

Area under ROC curve
0.7088 ± 0.0136
Per class
Build CPU time
0.0645
Build memory
605582951.7091
Kappa
0.1144 ± 0.0109
KB relative information score
0.2023 ± 0.0054
Mean absolute error
0.1677 ± 0.0005
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.203 ± 0.0098
Prior entropy
3.3219
Recall
0.203 ± 0.0098
Per class
Relative absolute error
0.9319 ± 0.0027
Root mean prior squared error
0.3
Root mean squared error
0.2889 ± 0.0009
Root relative squared error
0.9631 ± 0.0031
SciMark benchmark
1662.0484