Run
9699

Run 9699

Task 13 (Supervised Classification) breast-cancer Uploaded 22-05-2014 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)_M15
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
0.6533
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.723
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3072
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.8793
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3601
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.7516
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7587
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.7587
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8608
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4273
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.935
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
911.709[565.02776169467961015.7906865781697484.7593072718849911.80521739130441581.1619395961168]