Run
280149

Run 280149

Task 1894 (Supervised Classification) mfeat-fourier Uploaded 08-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9765
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8304
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8117
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
16793.3135
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0412
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
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
0.8307
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8306
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8306
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2288
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1559
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5197
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
854.5188
UserCPU time millis
36710
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
36680
Cross-validation details (10 times 10-fold Crossvalidation)