Run
504207

Run 504207

Task 1764 (Learning Curve) electricity Uploaded 30-12-2015 by Joaquin Vanschoren
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Flow

weka.Bagging_Logistic(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_M-1
weka.Bagging_Logistic(1)_P100
weka.Bagging_Logistic(1)_S1
weka.Bagging_Logistic(1)_num-slots4
weka.Bagging_Logistic(1)_I10
weka.Bagging_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.8274 ± 0.0067
Per class
F measure
0.7566 ± 0.006
Per class
Kappa
0.4989 ± 0.0124
KB relative information score
16016.7539 ± 34.1548
Mean absolute error
0.3294 ± 0.0033
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7624 ± 0.0056
Per class
Predictive accuracy
0.7613 ± 0.0056
Prior entropy
0.9835
Recall
0.7613 ± 0.0056
Per class
Relative absolute error
0.6741 ± 0.0068
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4054 ± 0.0039
Root relative squared error
0.8203 ± 0.0079
SciMark benchmark
914.23
UserCPU time millis
710
UserCPU time millis testing
700
UserCPU time millis training
10