Run
284062

Run 284062

Task 4502 (Supervised Classification) socmob Uploaded 10-03-2015 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
0.9847
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9486
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8485
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
9143.2345
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0697
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3451
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
11560
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9489
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9495
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7637
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9495
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2021
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4152
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1916
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4613
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
894.7222
UserCPU time millis
2420
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
2410
Cross-validation details (10 times 10-fold Crossvalidation)