Run
207597

Run 207597

Task 3945 (Supervised Classification) KDDCup09_appetency Uploaded 27-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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
0.5459
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0004
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-99700.2182
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0346
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.035
Cross-validation details (10-fold Crossvalidation)
Number of instances
50000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9647
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.982
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.129
Cross-validation details (10-fold Crossvalidation)
Recall
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9904
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1322
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1435
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0853
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
924.3698
UserCPU time millis
14842140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
14842120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)