Run
289099

Run 289099

Task 4549 (Supervised Classification) kdd_internet_usage Uploaded 14-03-2015 by Jan van Rijn
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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
0.7508
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8134
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5179
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
49219.0915
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1834
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3929
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
101080
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8116
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8166
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8395
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8166
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4669
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4432
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4283
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9663
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1341.2341
UserCPU time millis
105760
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
105760
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)