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out.out
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avg accuracy for 189 runs = 0.9554585704445895
accuracy for run 190 = 1.0
avg accuracy for 190 runs = 0.9556929990211969
accuracy for run 191 = 0.96
avg accuracy for 191 runs = 0.9557155487645413
accuracy for run 192 = 1.0
avg accuracy for 192 runs = 0.9559461969480595
accuracy for run 193 = 1.0
avg accuracy for 193 runs = 0.9561744549949607
accuracy for run 194 = 0.9259259259259259
avg accuracy for 194 runs = 0.9560185347420275
accuracy for run 195 = 1.0
avg accuracy for 195 runs = 0.9562440807177094
accuracy for run 196 = 1.0
avg accuracy for 196 runs = 0.9564673252038436
accuracy for run 197 = 1.0
avg accuracy for 197 runs = 0.9566883032484941
accuracy for run 198 = 1.0
avg accuracy for 198 runs = 0.9569070491916836
accuracy for run 199 = 1.0
avg accuracy for 199 runs = 0.9571235966831826
accuracy for run 200 = 0.8846153846153846
avg accuracy for 200 runs = 0.9567610556228436
accuracy for run 201 = 1.0
avg accuracy for 201 runs = 0.9569761747490981
accuracy for run 202 = 0.9444444444444444
avg accuracy for 202 runs = 0.9569141364802632
accuracy for run 203 = 1.0
avg accuracy for 203 runs = 0.9571263821133654
accuracy for run 204 = 1.0
avg accuracy for 204 runs = 0.9573365469069274
accuracy for run 205 = 0.9555555555555556
avg accuracy for 205 runs = 0.9573278591442376
accuracy for run 206 = 0.9666666666666667
avg accuracy for 206 runs = 0.9573731931613368
accuracy for run 207 = 0.9574468085106383
avg accuracy for 207 runs = 0.9573735487910435
accuracy for run 208 = 1.0
avg accuracy for 208 runs = 0.9575784836526251
accuracy for run 209 = 0.9230769230769231
avg accuracy for 209 runs = 0.9574134044154208
accuracy for run 210 = 0.9487179487179487
avg accuracy for 210 runs = 0.957371997483528
accuracy for run 211 = 0.9444444444444444
avg accuracy for 211 runs = 0.9573107294596461
accuracy for run 212 = 1.0
avg accuracy for 212 runs = 0.957512093943327
accuracy for run 213 = 0.9487179487179487
avg accuracy for 213 runs = 0.9574708068765413
accuracy for run 214 = 0.9393939393939394
avg accuracy for 214 runs = 0.9573863355331645
accuracy for run 215 = 1.0
avg accuracy for 215 runs = 0.957584538623708
accuracy for run 216 = 0.9
avg accuracy for 216 runs = 0.9573179435374871
accuracy for run 217 = 0.9487179487179487
avg accuracy for 217 runs = 0.9572783122249546
accuracy for run 218 = 1.0
avg accuracy for 218 runs = 0.9574742832697943
accuracy for run 219 = 0.9166666666666666
avg accuracy for 219 runs = 0.9572879471209217
accuracy for run 220 = 1.0
avg accuracy for 220 runs = 0.9574820928158265
accuracy for run 221 = 1.0
avg accuracy for 221 runs = 0.9576744815361169
accuracy for run 222 = 0.96
avg accuracy for 222 runs = 0.9576849568445127
accuracy for run 223 = 1.0
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accuracy for run 224 = 0.9259259259259259
avg accuracy for 224 runs = 0.9577320818991418
accuracy for run 225 = 0.9411764705882353
avg accuracy for 225 runs = 0.9576585014044267
accuracy for run 226 = 0.9130434782608695
avg accuracy for 226 runs = 0.9574610897975968
accuracy for run 227 = 1.0
avg accuracy for 227 runs = 0.9576484858777836
accuracy for run 228 = 0.8333333333333334
avg accuracy for 228 runs = 0.9571032439806588
accuracy for run 229 = 0.96875
avg accuracy for 229 runs = 0.9571541031772499
accuracy for run 230 = 0.9615384615384616
avg accuracy for 230 runs = 0.9571731656049073
accuracy for run 231 = 0.9666666666666667
avg accuracy for 231 runs = 0.9572142630121011
accuracy for run 232 = 1.0
avg accuracy for 232 runs = 0.9573986842922213
accuracy for run 233 = 0.9090909090909091
avg accuracy for 233 runs = 0.9571913547849196
accuracy for run 234 = 1.0
avg accuracy for 234 runs = 0.9573742977131892
accuracy for run 235 = 0.92
avg accuracy for 235 runs = 0.9572152581484522
accuracy for run 236 = 0.92
avg accuracy for 236 runs = 0.9570575663766366
accuracy for run 237 = 0.9259259259259259
avg accuracy for 237 runs = 0.9569262092439332
accuracy for run 238 = 0.9523809523809523
avg accuracy for 238 runs = 0.9569071115260215
accuracy for run 239 = 0.9705882352941176
avg accuracy for 239 runs = 0.956964354721704
accuracy for run 240 = 1.0
avg accuracy for 240 runs = 0.9571436699103635
accuracy for run 241 = 1.0
avg accuracy for 241 runs = 0.9573214970061711
accuracy for run 242 = 1.0
avg accuracy for 242 runs = 0.9574978544565588
accuracy for run 243 = 0.9545454545454546
avg accuracy for 243 runs = 0.957485704662686
accuracy for run 244 = 0.9230769230769231
avg accuracy for 244 runs = 0.957344685066023
accuracy for run 245 = 1.0
avg accuracy for 245 runs = 0.9575187883922841
accuracy for run 246 = 1.0
avg accuracy for 246 runs = 0.957691476244348
accuracy for run 247 = 0.9166666666666666
avg accuracy for 247 runs = 0.9575253838978797
accuracy for run 248 = 0.9354838709677419
avg accuracy for 248 runs = 0.957436506829613
accuracy for run 249 = 0.90625
avg accuracy for 249 runs = 0.9572309385290925
accuracy for run 250 = 1.0
avg accuracy for 250 runs = 0.9574020147749761
ACCURACY FOR LEAVE-ONE-OUT MODEL 2 = 0.9574020147749761
MODEL 1 TRAINING ON FILE train1.wtag TOOK 8935.327803850174 SECS
MODEL 1 INFERENCE ON train1.wtag TOOK 14475.540525197983 SECS
ACCURACY FOR MODEL 1 TRAINED ON train1.wtag AND INFERENCE ON train1.wtag = 0.9878422197594713
MODEL 1 INFERENCE ON test1.wtag TOOK 2732.421844959259 SECS
ACCURACY FOR MODEL 1 TRAINED ON train1.wtag AND INFERENCE ON test1.wtag = 0.9577595674579708
CONF MATRIX DICT FOR MODEL 1 TRAINED ON train1.wtag AND INFERENCE ON test1.wtag =
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MODEL 1 TRAINING ON FILE train1test1.wtag TOOK 11655.223356485367 SECS
MODEL 1 INFERENCE ON train1test1.wtag TOOK 16749.956377506256 SECS
ACCURACY FOR MODEL 1 TRAINED ON train1test1.wtag AND INFERENCE ON train1test1.wtag = 0.9867893792657865
MODEL 1 INFERENCE ON comp1.words TOOK 2816.950893163681 SECS
MODEL 2 TRAINING ON FILE train2.wtag TOOK 261.51214814186096 SECS
MODEL 2 INFERENCE ON train2.wtag TOOK 523.3085775375366 SECS
ACCURACY FOR MODEL 2 TRAINED ON train2.wtag AND INFERENCE ON train2.wtag = 0.9996709443896018
MODEL 2 INFERENCE ON comp2.words TOOK 2210.5987842082977 SECS