Run
504409

Run 504409

Task 10066 (Learning Curve) letter-challenge-unlabeled.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
0.7601 ± 0.0053
Per class
F measure
0.9515 ± 0.0049
Per class
Kappa
0.878 ± 0.0118
KB relative information score
7611.8841 ± 12.6971
Mean absolute error
0.1014 ± 0.0039
Mean prior absolute error
0.3997 ± 0.0027
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9514 ± 0.0049
Per class
Predictive accuracy
0.9517 ± 0.0048
Prior entropy
0.85
Recall
0.9517 ± 0.0048
Per class
Relative absolute error
0.2537 ± 0.0095
Root mean prior squared error
0.447 ± 0.0031
Root mean squared error
0.1993 ± 0.0058
Root relative squared error
0.4459 ± 0.0123
SciMark benchmark
914.23
UserCPU time millis
1520
UserCPU time millis testing
60
UserCPU time millis training
1460