Run
241478

Run 241478

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 02-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.8071
Per class
Cross-validation details (33% Holdout set)
F measure
0.8208
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6308
Cross-validation details (33% Holdout set)
KB relative information score
14.1889
Cross-validation details (33% Holdout set)
Mean absolute error
0.0833
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2324
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8611
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8333
Cross-validation details (33% Holdout set)
Prior entropy
1.3146
Cross-validation details (33% Holdout set)
Recall
0.8333
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3586
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3388
Cross-validation details (33% Holdout set)
Root mean squared error
0.2887
Cross-validation details (33% Holdout set)
Root relative squared error
0.8521
Cross-validation details (33% Holdout set)
SciMark benchmark
1419.2433
UserCPU time millis
10
UserCPU time millis testing
10