Run
539774

Run 539774

Task 57 (Supervised Classification) ionosphere Uploaded 22-03-2016 by Martijn Post
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Flow

weka.LMT(4)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(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_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
0.9236
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9213
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8265
Cross-validation details (10-fold Crossvalidation)
KB relative information score
278.9551
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.096
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.9272
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9231
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9231
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2084
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.533
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1732.2066
UserCPU time millis
265.2017
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
265.2017
Cross-validation details (10-fold Crossvalidation)