Run
280091

Run 280091

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 08-03-2015 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
0.6083
Per class
Cross-validation details (33% Holdout set)
KB relative information score
-20.9616
Cross-validation details (33% Holdout set)
Mean absolute error
0.4444
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2798
Cross-validation details (33% Holdout set)
Number of instances
29
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5244
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7241
Cross-validation details (33% Holdout set)
Prior entropy
1.0305
Cross-validation details (33% Holdout set)
Recall
0.7241
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.5883
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3657
Cross-validation details (33% Holdout set)
Root mean squared error
0.4714
Cross-validation details (33% Holdout set)
Root relative squared error
1.289
Cross-validation details (33% Holdout set)
SciMark benchmark
1086.8793
UserCPU time millis
510
Cross-validation details (33% Holdout set)
UserCPU time millis training
510
Cross-validation details (33% Holdout set)