Run
365378

Run 365378

Task 336 (Supervised Classification) electricity Uploaded 29-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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
0.8563
Per class
Cross-validation details (33% Holdout set)
F measure
0.7757
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5399
Cross-validation details (33% Holdout set)
KB relative information score
4224.2482
Cross-validation details (33% Holdout set)
Mean absolute error
0.3688
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4893
Cross-validation details (33% Holdout set)
Number of instances
14952
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7818
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7797
Cross-validation details (33% Holdout set)
Prior entropy
0.9835
Cross-validation details (33% Holdout set)
Recall
0.7797
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7536
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.495
Cross-validation details (33% Holdout set)
Root mean squared error
0.4048
Cross-validation details (33% Holdout set)
Root relative squared error
0.8178
Cross-validation details (33% Holdout set)
SciMark benchmark
1310.3168
UserCPU time millis
4890
Cross-validation details (33% Holdout set)
UserCPU time millis testing
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
4840
Cross-validation details (33% Holdout set)