Run
504083

Run 504083

Task 10056 (Learning Curve) kdd_internet_usage Uploaded 30-12-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Winnow(4)N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz.
weka.Winnow(4)_I1
weka.Winnow(4)_A2.0
weka.Winnow(4)_B0.5
weka.Winnow(4)_H-1.0
weka.Winnow(4)_W2.0
weka.Winnow(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
0.7381 ± 0.0779
Per class
F measure
0.8043 ± 0.0401
Per class
Kappa
0.4935 ± 0.1187
KB relative information score
4679.4645 ± 88.84
Mean absolute error
0.192 ± 0.0315
Mean prior absolute error
0.3929 ± 0.0002
Number of instances
10108
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.8022 ± 0.041
Per class
Predictive accuracy
0.808 ± 0.0315
Prior entropy
0.8395
Recall
0.808 ± 0.0315
Per class
Relative absolute error
0.4887 ± 0.0802
Root mean prior squared error
0.4432 ± 0.0002
Root mean squared error
0.4382 ± 0.0374
Root relative squared error
0.9887 ± 0.0842
SciMark benchmark
1154.5084
UserCPU time millis
160
UserCPU time millis testing
70
UserCPU time millis training
90