Run
504423

Run 504423

Task 10080 (Learning Curve) pc1 Uploaded 02-01-2016 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
0.8467 ± 0.1003
Per class
F measure
0.9129 ± 0.0194
Per class
Kappa
0.1925 ± 0.1984
KB relative information score
-214.7094 ± 19.0331
Mean absolute error
0.1031 ± 0.008
Mean prior absolute error
0.1299 ± 0.0037
Number of instances
1109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9143 ± 0.0312
Per class
Predictive accuracy
0.9333 ± 0.0097
Prior entropy
0.3667
Recall
0.9333 ± 0.0097
Per class
Relative absolute error
0.7936 ± 0.0673
Root mean prior squared error
0.2542 ± 0.0073
Root mean squared error
0.2281 ± 0.0158
Root relative squared error
0.8972 ± 0.0631
SciMark benchmark
925.5951
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90