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3.1output.txt
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3.1output.txt
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SMO
Kernel used:
Linear Kernel: K(x,y) = <x,y>
Classifier for classes: 0, 4
BinarySMO
Machine linear: showing attribute weights, not support vectors.
-1.0005 * (normalized) 1st_person_pro
+ 3.7933 * (normalized) 2nd_person_pro
+ 0.4156 * (normalized) 3rd_person_pro
+ -0.492 * (normalized) conjunctions
+ -1.615 * (normalized) past
+ -0.3322 * (normalized) future
+ 2.5179 * (normalized) commas
+ 0.5123 * (normalized) (semi)colons
+ 2.6189 * (normalized) dashes
+ 1.3221 * (normalized) parentheses
+ -1.4764 * (normalized) ellipses
+ 0.5419 * (normalized) common_nouns
+ 2.4294 * (normalized) proper_nouns
+ -2.3268 * (normalized) adverbs
+ -0.7123 * (normalized) wh_words
+ 0.1802 * (normalized) slang
+ -0.7207 * (normalized) uppercase
+ -0.2182 * (normalized) avg_sentence_len
+ 5.35 * (normalized) avg_token_len
+ 2.3276 * (normalized) num_sentences
- 1.4089
Number of kernel evaluations: 3147396 (62.296% cached)
Time taken to build model: 1.43 seconds
Time taken to test model on training data: 0.14 seconds
=== Error on training data ===
Correctly Classified Instances 6827 62.0749 %
Incorrectly Classified Instances 4171 37.9251 %
Kappa statistic 0.2415
Mean absolute error 0.3793
Root mean squared error 0.6158
Relative absolute error 75.8502 %
Root relative squared error 123.1667 %
Total Number of Instances 10998
=== Confusion Matrix ===
a b <-- classified as
3783 1716 | a = 0
2455 3044 | b = 4
=== Error on test data ===
Correctly Classified Instances 190 52.9248 %
Incorrectly Classified Instances 169 47.0752 %
Kappa statistic 0.0568
Mean absolute error 0.4708
Root mean squared error 0.6861
Relative absolute error 94.1504 %
Root relative squared error 137.2228 %
Total Number of Instances 359
=== Confusion Matrix ===
a b <-- classified as
82 95 | a = 0
74 108 | b = 4