OpenML
573462

Run 573462

Task 18 (Supervised Classification) mfeat-morphological Uploaded 31-05-2016 by Jan van Rijn
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Flow

weka.LMT(4)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(4)_I-1
weka.LMT(4)_M15
weka.LMT(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
0.9648
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7383
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.71
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1521.0845
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0671
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
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7411
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.739
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.739
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3728
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1806
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6021
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1422.4803
UserCPU time millis
6180
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
6170
Cross-validation details (10-fold Crossvalidation)