Run
504414

Run 504414

Task 10052 (Learning Curve) hiva_agnostic 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
0.7726 ± 0.0734
Per class
F measure
0.9539 ± 0.0036
Per class
Kappa
0.1561 ± 0.0775
KB relative information score
-2212.6135 ± 66.6178
Mean absolute error
0.0581 ± 0.0028
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9562 ± 0.01
Per class
Predictive accuracy
0.9662 ± 0.0027
Prior entropy
0.221
Recall
0.9662 ± 0.0027
Per class
Relative absolute error
0.8521 ± 0.0401
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.1712 ± 0.008
Root relative squared error
0.9286 ± 0.0378
SciMark benchmark
903.7858
UserCPU time millis
106590
UserCPU time millis testing
30
UserCPU time millis training
106560