Run
539758

Run 539758

Task 29 (Supervised Classification) credit-approval Uploaded 22-03-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.904
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8511
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6996
Cross-validation details (10-fold Crossvalidation)
KB relative information score
413.5933
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2086
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.8527
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4223
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3386
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6813
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1732.2066
UserCPU time millis
249.6016
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
249.6016
Cross-validation details (10-fold Crossvalidation)