Run
336569

Run 336569

Task 2114 (Supervised Classification) solar-flare Uploaded 27-03-2015 by Joaquin Vanschoren
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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
0.5
Per class
Cross-validation details (33% Holdout set)
F measure
0.9957
Per class
Cross-validation details (33% Holdout set)
KB relative information score
-37208.613
Cross-validation details (33% Holdout set)
Mean absolute error
0.4444
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0062
Cross-validation details (33% Holdout set)
Number of instances
351
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9943
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9972
Cross-validation details (33% Holdout set)
Prior entropy
0.0626
Cross-validation details (33% Holdout set)
Recall
0.9972
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
71.1855
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.0436
Cross-validation details (33% Holdout set)
Root mean squared error
0.4714
Cross-validation details (33% Holdout set)
Root relative squared error
10.8126
Cross-validation details (33% Holdout set)
SciMark benchmark
1306.5596
UserCPU time millis
3690
Cross-validation details (33% Holdout set)
UserCPU time millis training
3690
Cross-validation details (33% Holdout set)