Run
280105

Run 280105

Task 289 (Supervised Classification) iris 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
0.9987
Per class
Cross-validation details (33% Holdout set)
F measure
0.9178
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8778
Cross-validation details (33% Holdout set)
KB relative information score
43.6575
Cross-validation details (33% Holdout set)
Mean absolute error
0.0593
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
Cross-validation details (33% Holdout set)
Number of instances
49
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9347
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9184
Cross-validation details (33% Holdout set)
Prior entropy
1.585
Cross-validation details (33% Holdout set)
Recall
0.9184
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1334
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.1609
Cross-validation details (33% Holdout set)
Root relative squared error
0.3412
Cross-validation details (33% Holdout set)
SciMark benchmark
854.5188
UserCPU time millis
60
Cross-validation details (33% Holdout set)
UserCPU time millis training
60
Cross-validation details (33% Holdout set)