Run
398950

Run 398950

Task 4280 (Supervised Classification) sleuth_ex2016 Uploaded 16-04-2015 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
0.7823
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7048
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.39
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
276.4978
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.337
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4855
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
870
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
0.7043
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7057
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9794
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7057
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6943
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4367
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8866
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
926.4745
UserCPU time millis
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10 times 10-fold Crossvalidation)