Run
578990

Run 578990

Task 2073 (Supervised Classification) yeast Uploaded 04-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SimpleLogistic(4)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. 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.SimpleLogistic(4)_I0
weka.SimpleLogistic(4)_M500
weka.SimpleLogistic(4)_H50
weka.SimpleLogistic(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
0.8241
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5781
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4612
Cross-validation details (10-fold Crossvalidation)
KB relative information score
637.1986
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1117
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.5893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5889
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.5889
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7181
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2348
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8425
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1263.2306
UserCPU time millis
840
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
840
Cross-validation details (10-fold Crossvalidation)