Run
310807

Run 310807

Task 4278 (Supervised Classification) mnist_784 Uploaded 19-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.CHIRP(1)Leland Wilkinson, Anushka Anand,, Tuan Dang : CHIRP: A new classi?er based on Composite Hypercubes on Iterated Random Projection. In: Proceedings of the 17th ACM KDD, 2011.
weka.CHIRP(1)_V7
weka.CHIRP(1)_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
0.9301
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8738
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8601
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
607384.4467
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0252
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1799
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
700000
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
0.8741
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8741
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8741
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1399
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1587
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.529
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1261.7298
UserCPU time millis
11510200
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
40260
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
11469940
Cross-validation details (10 times 10-fold Crossvalidation)