Run
202807

Run 202807

Task 3686 (Supervised Classification) house_16H 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
0.8892
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8465
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6271
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11892.496
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1944
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4168
Cross-validation details (10-fold Crossvalidation)
Number of instances
22784
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
0.8457
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8487
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8764
Cross-validation details (10-fold Crossvalidation)
Recall
0.8487
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4664
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4565
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3352
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7343
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.5999
UserCPU time millis
108190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
108180
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)