Run
504395

Run 504395

Task 10048 (Learning Curve) cal_housing 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
0.9532 ± 0.0048
Per class
F measure
0.8864 ± 0.0049
Per class
Kappa
0.764 ± 0.0105
KB relative information score
13774.5683 ± 16.4117
Mean absolute error
0.17 ± 0.0037
Mean prior absolute error
0.4824 ± 0
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8864 ± 0.0048
Per class
Predictive accuracy
0.8867 ± 0.0048
Prior entropy
0.9745
Recall
0.8867 ± 0.0048
Per class
Relative absolute error
0.3524 ± 0.0076
Root mean prior squared error
0.4911 ± 0
Root mean squared error
0.2868 ± 0.0063
Root relative squared error
0.5839 ± 0.0128
SciMark benchmark
869.4058
UserCPU time millis
2860
UserCPU time millis testing
70
UserCPU time millis training
2790