573_Asst

pptx

School

Arizona State University *

*We aren’t endorsed by this school

Course

MISC

Subject

Statistics

Date

Jun 4, 2024

Type

pptx

Pages

4

Uploaded by loading....

Report
Amazon(random state = 23) Model(w/o Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.546, 0.584 0.546, 0.584 1.0, 1.0 Bigram + SVM 0.510, 0.468 0.664, 0.566 0.212, 0.363 Bigram + XGBoost 0.488, 0.520 0.523, .0570 0.698, 0.726 Model(w Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.543, 0.584 0.546, 0.584 0.967, 1.0 Bigram + SVM 0.481, 0.515 0.583, 0.568 0.179, 0.711 Bigram + XGBoost 0.474, 0.446 0.514, 0.521 0.669, 0.623
Amazon(random state = 15) Model(w/o Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.510, 0.571 0.510, 0.587 1.0, 0.949 Bigram + SVM 0.527, 0.424 0.575, 0.523 0.269, 0.420 Bigram + XGBoost 0.535, 0.455 0.525, 0.542 0.894, 0.565 Model(w Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.510, 0.593 0.510, 0.596 1.0, 0.993 Bigram + SVM 0.499, 0.411 0.529, 0515 0.144, 0.246 Bigram + XGBoost 0.519, 0.463 0.520, 0.560 0.717, 0478
Apple(random state=23) Model(w/o Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.479, 0.487 0.507, 0.487 0.260, 1.0 Bigram + SVM 0.514, 0.483 0.528, 0.459 0.707, 0.342 Bigram + XGBoost 0.483, 0.491 0.509, 0.480 0.473, 0.535 Model(w Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.522, 0.5 0.533, 0.494 0.989, 1.0 Bigram + SVM 0.525, 0.521 0.543, 0.509 0.606, 0.474 Bigram + XGBoost 0.5, 0.474 0.518, 0.478 0.668, 0.842
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help
Apple(random state=15) Model(w/o Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.499, 0.491 0.535, 0.540 0.284, 0.512 Bigram + SVM 0.496, 0.453 0.511, 0.504 0.732, 0.449 Bigram + XGBoost 0.517, 0.479 0.538, 0.537 0.509, 0.395 Model(w Sent) Accuracy(1hr, 4hr) Precision(1hr, 4hr) Recall(1hr, 4hr) Bigram + LR 0.526, 0.56 0.532, 0.558 0.747, 0.976 Bigram + SVM 0.566, 0.509 0.517, 0.539 0.625, 0.759 Bigram + XGBoost 0.5, 0.556 0.515, 0.561 0.673, 0.922