Run
278658

Run 278658

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 07-03-2015 by Joaquin Vanschoren
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Flow

weka.LMT(3)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.LMT(3)_I-1
weka.LMT(3)_M15
weka.LMT(3)_W0.0

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
0.8193
Per class
Cross-validation details (33% Holdout set)
F measure
0.6979
Per class
Cross-validation details (33% Holdout set)
Kappa
0.16
Cross-validation details (33% Holdout set)
KB relative information score
3.3672
Cross-validation details (33% Holdout set)
Mean absolute error
0.1767
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6917
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7083
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.7083
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7856
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.3127
Cross-validation details (33% Holdout set)
Root relative squared error
1.0102
Cross-validation details (33% Holdout set)
SciMark benchmark
1349.1028
UserCPU time millis
80
Cross-validation details (33% Holdout set)
UserCPU time millis training
80
Cross-validation details (33% Holdout set)