Run
202410

Run 202410

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K5
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.9123
Per class
Cross-validation details (33% Holdout set)
F measure
0.9148
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8161
Cross-validation details (33% Holdout set)
KB relative information score
9.2412
Cross-validation details (33% Holdout set)
Mean absolute error
0.1617
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.925
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9167
Cross-validation details (33% Holdout set)
Prior entropy
1.3146
Cross-validation details (33% Holdout set)
Recall
0.9167
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6961
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3388
Cross-validation details (33% Holdout set)
Root mean squared error
0.2727
Cross-validation details (33% Holdout set)
Root relative squared error
0.8049
Cross-validation details (33% Holdout set)
SciMark benchmark
924.3698
UserCPU time millis
10
UserCPU time millis testing
10