Run
14663

Run 14663

Task 20 (Supervised Classification) mfeat-pixel Uploaded 23-05-2014 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(1)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(1)_I-1
weka.LMT(1)_M20
weka.LMT(1)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9957
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.958
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9533
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1917.5778
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0093
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.958
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.958
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0516
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0824
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2747
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.767[564.29653665317711015.2555353338006483.6674820550281912.75766683510371762.8578651418343]