Run
383372

Run 383372

Task 4316 (Supervised Classification) auto_price Uploaded 03-04-2015 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
0.9965
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9704
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9338
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1443.6391
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0424
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4492
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9704
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9704
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9264
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9704
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0944
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4736
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1495
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.3156
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
934.5324
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)