Run
504388

Run 504388

Task 7535 (Learning Curve) monks-problems-2 Uploaded 01-01-2016 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(17)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Bagging_REPTree(17)_P100
weka.Bagging_REPTree(17)_S1
weka.Bagging_REPTree(17)_num-slots1
weka.Bagging_REPTree(17)_I10
weka.Bagging_REPTree(17)_Wweka.classifiers.trees.REPTree

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.

22 Evaluation measures

Area under ROC curve
0.5602 ± 0.0763
Per class
F measure
0.5589 ± 0.0637
Per class
Kappa
0.0053 ± 0.1383
KB relative information score
-0.4769 ± 2.8817
Mean absolute error
0.4391 ± 0.0161
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5529 ± 0.0965
Per class
Predictive accuracy
0.619 ± 0.0513
Prior entropy
0.9279
Recall
0.619 ± 0.0513
Per class
Relative absolute error
0.9743 ± 0.0375
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4815 ± 0.0154
Root relative squared error
1.0144 ± 0.0342
SciMark benchmark
869.4058
UserCPU time millis
10
UserCPU time millis training
10