Run
110220

Run 110220

Task 283 (Supervised Classification) vehicle Uploaded 09-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_IBk(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(2)_I160
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.7866
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.046
Cross-validation details (33% Holdout set)
Build memory
543556640
Cross-validation details (33% Holdout set)
F measure
0.6821
Per class
Cross-validation details (33% Holdout set)
Kappa
0.574
Cross-validation details (33% Holdout set)
KB relative information score
170.9822
Cross-validation details (33% Holdout set)
Mean absolute error
0.161
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3748
Cross-validation details (33% Holdout set)
Number of instances
279
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
0.6874
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.681
Cross-validation details (33% Holdout set)
Prior entropy
1.9991
Cross-validation details (33% Holdout set)
Recall
0.681
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4296
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4328
Cross-validation details (33% Holdout set)
Root mean squared error
0.398
Cross-validation details (33% Holdout set)
Root relative squared error
0.9195
Cross-validation details (33% Holdout set)
SciMark benchmark
945.5885