Run
504408

Run 504408

Task 10065 (Learning Curve) letter-challenge-labeled.arff 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
0.9922 ± 0.0014
Per class
F measure
0.9599 ± 0.0026
Per class
Kappa
0.8988 ± 0.0065
KB relative information score
16120.8633 ± 14.3527
Mean absolute error
0.0819 ± 0.0026
Mean prior absolute error
0.3968 ± 0.0001
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9599 ± 0.0026
Per class
Predictive accuracy
0.9601 ± 0.0026
Prior entropy
0.8456
Recall
0.9601 ± 0.0026
Per class
Relative absolute error
0.2064 ± 0.0065
Root mean prior squared error
0.4454 ± 0.0001
Root mean squared error
0.1774 ± 0.0049
Root relative squared error
0.3983 ± 0.0109
SciMark benchmark
914.23
UserCPU time millis
3820
UserCPU time millis testing
60
UserCPU time millis training
3760