Run
280121

Run 280121

Task 1786 (Supervised Classification) mfeat-zernike 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
0.9799
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8194
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.802
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
8381.4382
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0451
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
10000
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8172
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8218
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8218
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2506
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1484
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.4946
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
854.5188
UserCPU time millis
27060
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
27040
Cross-validation details (5 times 2-fold Crossvalidation)