diff --git a/comparisons/AdaBoostClassifier-n50-l0,80.txt b/comparisons/AdaBoostClassifier-n50-l0,80.txt deleted file mode 100644 index f959162..0000000 --- a/comparisons/AdaBoostClassifier-n50-l0,80.txt +++ /dev/null @@ -1,21 +0,0 @@ - precision recall f1-score support - - 0 0.86 0.77 0.82 300 - 1 0.71 0.52 0.60 216 - 2 0.50 0.06 0.10 86 - 3 0.71 0.11 0.19 46 - 4 0.71 0.24 0.36 83 - 5 0.00 0.00 0.00 0 - 6 0.71 0.71 0.71 245 - 7 0.73 0.19 0.30 42 - 8 0.83 0.43 0.57 127 - 9 1.00 0.33 0.50 12 - 10 0.75 0.52 0.61 127 - 11 0.38 0.21 0.27 14 - 12 0.74 0.42 0.54 106 - 13 0.00 0.00 0.00 0 - - micro avg 0.76 0.52 0.62 1404 - macro avg 0.62 0.32 0.40 1404 -weighted avg 0.75 0.52 0.59 1404 - samples avg 0.75 0.58 0.61 1404 \ No newline at end of file diff --git a/comparisons/AdaBoostClassifier-n50-l1,00.txt b/comparisons/AdaBoostClassifier-n50-l1,00.txt deleted file mode 100644 index fa03a8e..0000000 --- a/comparisons/AdaBoostClassifier-n50-l1,00.txt +++ /dev/null @@ -1,21 +0,0 @@ - precision recall f1-score support - - 0 0.87 0.76 0.81 300 - 1 0.70 0.59 0.64 216 - 2 0.58 0.13 0.21 86 - 3 0.56 0.11 0.18 46 - 4 0.71 0.30 0.42 83 - 5 0.00 0.00 0.00 0 - 6 0.69 0.70 0.69 245 - 7 0.62 0.31 0.41 42 - 8 0.76 0.41 0.53 127 - 9 1.00 0.50 0.67 12 - 10 0.67 0.50 0.57 127 - 11 0.40 0.29 0.33 14 - 12 0.74 0.45 0.56 106 - 13 0.00 0.00 0.00 0 - - micro avg 0.74 0.54 0.62 1404 - macro avg 0.59 0.36 0.43 1404 -weighted avg 0.73 0.54 0.60 1404 - samples avg 0.74 0.59 0.61 1404 \ No newline at end of file diff --git a/comparisons/AdaBoostClassifier-n50-l2,00.txt b/comparisons/AdaBoostClassifier-n50-l2,00.txt deleted file mode 100644 index 08838e9..0000000 --- a/comparisons/AdaBoostClassifier-n50-l2,00.txt +++ /dev/null @@ -1,21 +0,0 @@ - precision recall f1-score support - - 0 0.61 0.97 0.75 300 - 1 0.46 0.93 0.61 216 - 2 0.23 0.85 0.36 86 - 3 0.07 0.76 0.14 46 - 4 0.19 0.94 0.32 83 - 5 0.00 0.00 0.00 0 - 6 0.00 0.00 0.00 245 - 7 0.09 0.69 0.16 42 - 8 0.26 0.99 0.41 127 - 9 0.02 0.58 0.05 12 - 10 0.27 0.80 0.40 127 - 11 0.03 0.29 0.05 14 - 12 0.17 0.71 0.27 106 - 13 0.00 0.00 0.00 0 - - micro avg 0.24 0.73 0.36 1404 - macro avg 0.17 0.61 0.25 1404 -weighted avg 0.29 0.73 0.40 1404 - samples avg 0.25 0.74 0.35 1404 \ No newline at end of file diff --git a/comparisons/BaggingClassifier.txt b/comparisons/BaggingClassifier.txt deleted file mode 100644 index 58d3d46..0000000 --- a/comparisons/BaggingClassifier.txt +++ /dev/null @@ -1,21 +0,0 @@ - precision recall f1-score support - - 0 0.85 0.75 0.80 300 - 1 0.72 0.52 0.60 216 - 2 0.70 0.19 0.29 86 - 3 0.43 0.07 0.11 46 - 4 0.59 0.16 0.25 83 - 5 0.00 0.00 0.00 0 - 6 0.66 0.62 0.64 245 - 7 0.60 0.29 0.39 42 - 8 0.73 0.49 0.58 127 - 9 0.75 0.25 0.38 12 - 10 0.75 0.49 0.59 127 - 11 0.67 0.14 0.24 14 - 12 0.68 0.50 0.58 106 - 13 0.00 0.00 0.00 0 - - micro avg 0.73 0.51 0.60 1404 - macro avg 0.58 0.32 0.39 1404 -weighted avg 0.71 0.51 0.58 1404 - samples avg 0.73 0.56 0.59 1404 diff --git a/comparisons/ComplementNB-a0,25.txt b/comparisons/ComplementNB-a0,25.txt deleted file mode 100644 index b881057..0000000 --- a/comparisons/ComplementNB-a0,25.txt +++ /dev/null @@ -1,21 +0,0 @@ - precision recall f1-score support - - 0 0.79 0.94 0.86 300 - 1 0.77 0.60 0.68 216 - 2 0.55 0.07 0.12 86 - 3 0.00 0.00 0.00 46 - 4 0.56 0.06 0.11 83 - 5 0.00 0.00 0.00 0 - 6 0.78 0.83 0.80 245 - 7 0.29 0.05 0.08 42 - 8 0.90 0.20 0.33 127 - 9 0.00 0.00 0.00 12 - 10 0.84 0.29 0.43 127 - 11 0.25 0.14 0.18 14 - 12 0.78 0.13 0.23 106 - 13 0.00 0.00 0.00 0 - - micro avg 0.76 0.50 0.60 1404 - macro avg 0.46 0.24 0.27 1404 -weighted avg 0.72 0.50 0.53 1404 - samples avg 0.78 0.56 0.61 1404 \ No newline at end of file diff --git a/comparisons/ComplementNB-a0,50.txt b/comparisons/ComplementNB-a0,50.txt deleted file mode 100644 index 76658c4..0000000 --- a/comparisons/ComplementNB-a0,50.txt +++ /dev/null @@ -1,21 +0,0 @@ - precision recall f1-score support - - 0 0.72 0.95 0.82 300 - 1 0.80 0.47 0.59 216 - 2 0.75 0.07 0.13 86 - 3 0.00 0.00 0.00 46 - 4 0.67 0.05 0.09 83 - 5 0.00 0.00 0.00 0 - 6 0.78 0.83 0.80 245 - 7 0.40 0.05 0.09 42 - 8 0.83 0.04 0.08 127 - 9 0.00 0.00 0.00 12 - 10 0.69 0.07 0.13 127 - 11 0.00 0.00 0.00 14 - 12 1.00 0.06 0.11 106 - 13 0.00 0.00 0.00 0 - - micro avg 0.73 0.44 0.55 1404 - macro avg 0.47 0.18 0.20 1404 -weighted avg 0.72 0.44 0.45 1404 - samples avg 0.75 0.49 0.55 1404 \ No newline at end of file diff --git a/comparisons/ComplementNB-a1,00.txt b/comparisons/ComplementNB-a1,00.txt deleted file mode 100644 index bfe73a6..0000000 --- a/comparisons/ComplementNB-a1,00.txt +++ /dev/null @@ -1,21 +0,0 @@ - precision recall f1-score support - - 0 0.67 0.98 0.80 300 - 1 0.81 0.36 0.50 216 - 2 0.67 0.05 0.09 86 - 3 0.00 0.00 0.00 46 - 4 0.80 0.05 0.09 83 - 5 0.00 0.00 0.00 0 - 6 0.77 0.81 0.79 245 - 7 0.40 0.05 0.09 42 - 8 0.83 0.04 0.08 127 - 9 0.00 0.00 0.00 12 - 10 0.43 0.02 0.04 127 - 11 0.00 0.00 0.00 14 - 12 1.00 0.05 0.09 106 - 13 0.00 0.00 0.00 0 - - micro avg 0.70 0.42 0.53 1404 - macro avg 0.46 0.17 0.18 1404 -weighted avg 0.69 0.42 0.42 1404 - samples avg 0.71 0.46 0.52 1404 \ No newline at end of file diff --git a/comparisons/MultinomialNB-a0,25.txt b/comparisons/MultinomialNB-a0,25.txt deleted file mode 100644 index fe2bcb2..0000000 --- a/comparisons/MultinomialNB-a0,25.txt +++ /dev/null @@ -1,13 +0,0 @@ -from sklearn.linear_model import LogisticRegression -from sklearn.naive_bayes import MultinomialNB -from sklearn.multioutput import MultiOutputClassifier - -#LogisticRegression(max_iter=1337, random_state=0) -> bad macros -base_clf = MultinomialNB(alpha=0.25) - -# n_jobs=1 since there seems to be some multithreading join issue in sklearn (or my pc is to bad) -multi_target_clf = MultiOutputClassifier(base_clf, n_jobs=1) - -multi_target_clf.fit(X_train, y_train) - -y_pred = multi_target_clf.predict(X_test) \ No newline at end of file diff --git a/comparisons/BernoulliNB-a1,00.txt b/games_march2025_cleaned/BernoulliNB.txt similarity index 93% rename from comparisons/BernoulliNB-a1,00.txt rename to games_march2025_cleaned/BernoulliNB.txt index 71a8892..f2237d4 100644 --- a/comparisons/BernoulliNB-a1,00.txt +++ b/games_march2025_cleaned/BernoulliNB.txt @@ -19,5 +19,3 @@ macro avg 0.40 0.27 0.30 1404 weighted avg 0.64 0.55 0.56 1404 samples avg 0.73 0.59 0.61 1404 - --> this is designed for binary/boolean features, so not for our dataset \ No newline at end of file diff --git a/games_march2025_cleaned/DecisionTreeClassifier.txt b/games_march2025_cleaned/DecisionTreeClassifier.txt new file mode 100644 index 0000000..900c256 --- /dev/null +++ b/games_march2025_cleaned/DecisionTreeClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.76 0.73 0.75 300 + 1 0.56 0.53 0.54 216 + 2 0.36 0.33 0.34 86 + 3 0.33 0.26 0.29 46 + 4 0.40 0.46 0.43 83 + 5 0.00 0.00 0.00 0 + 6 0.65 0.61 0.63 245 + 7 0.39 0.40 0.40 42 + 8 0.59 0.57 0.58 127 + 9 0.60 0.25 0.35 12 + 10 0.56 0.51 0.53 127 + 11 0.39 0.50 0.44 14 + 12 0.52 0.49 0.50 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.58 0.55 0.57 1404 + macro avg 0.44 0.40 0.41 1404 +weighted avg 0.58 0.55 0.57 1404 + samples avg 0.59 0.59 0.55 1404 diff --git a/comparisons/GaussianNB.txt b/games_march2025_cleaned/GaussianNB.txt similarity index 94% rename from comparisons/GaussianNB.txt rename to games_march2025_cleaned/GaussianNB.txt index 88f703a..83d7a2e 100644 --- a/comparisons/GaussianNB.txt +++ b/games_march2025_cleaned/GaussianNB.txt @@ -18,4 +18,4 @@ micro avg 0.66 0.47 0.55 1404 macro avg 0.52 0.26 0.31 1404 weighted avg 0.62 0.47 0.51 1404 - samples avg 0.67 0.53 0.55 1404 \ No newline at end of file + samples avg 0.67 0.53 0.55 1404 diff --git a/games_march2025_cleaned/GradientBoostingClassifier.txt b/games_march2025_cleaned/GradientBoostingClassifier.txt new file mode 100644 index 0000000..7c8ce6e --- /dev/null +++ b/games_march2025_cleaned/GradientBoostingClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.85 0.80 0.83 300 + 1 0.77 0.61 0.68 216 + 2 0.55 0.13 0.21 86 + 3 0.42 0.11 0.17 46 + 4 0.68 0.33 0.44 83 + 5 0.00 0.00 0.00 0 + 6 0.71 0.76 0.74 245 + 7 0.61 0.26 0.37 42 + 8 0.81 0.50 0.61 127 + 9 0.75 0.25 0.38 12 + 10 0.81 0.54 0.65 127 + 11 0.40 0.43 0.41 14 + 12 0.69 0.42 0.53 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.76 0.57 0.65 1404 + macro avg 0.57 0.37 0.43 1404 +weighted avg 0.74 0.57 0.63 1404 + samples avg 0.76 0.63 0.65 1404 diff --git a/games_march2025_cleaned/LinearSVC-i5000.txt b/games_march2025_cleaned/LinearSVC-i5000.txt new file mode 100644 index 0000000..df82b40 --- /dev/null +++ b/games_march2025_cleaned/LinearSVC-i5000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.85 0.87 0.86 300 + 1 0.76 0.66 0.70 216 + 2 0.77 0.20 0.31 86 + 3 0.00 0.00 0.00 46 + 4 0.76 0.27 0.39 83 + 5 0.00 0.00 0.00 0 + 6 0.78 0.81 0.79 245 + 7 0.89 0.19 0.31 42 + 8 0.77 0.60 0.67 127 + 9 1.00 0.58 0.74 12 + 10 0.85 0.54 0.66 127 + 11 1.00 0.29 0.44 14 + 12 0.82 0.42 0.56 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.80 0.61 0.69 1404 + macro avg 0.66 0.39 0.46 1404 +weighted avg 0.78 0.61 0.66 1404 + samples avg 0.81 0.67 0.69 1404 diff --git a/games_march2025_cleaned/LogisticRegression-i1000.txt b/games_march2025_cleaned/LogisticRegression-i1000.txt new file mode 100644 index 0000000..b7926d4 --- /dev/null +++ b/games_march2025_cleaned/LogisticRegression-i1000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.78 0.91 0.84 300 + 1 0.78 0.62 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.04 0.07 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.81 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.90 0.34 0.49 127 + 9 0.00 0.00 0.00 12 + 10 0.89 0.25 0.39 127 + 11 0.00 0.00 0.00 14 + 12 0.88 0.14 0.24 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.50 0.61 1404 + macro avg 0.50 0.22 0.26 1404 +weighted avg 0.77 0.50 0.53 1404 + samples avg 0.77 0.56 0.60 1404 diff --git a/games_march2025_cleaned/LogisticRegression-i10000.txt b/games_march2025_cleaned/LogisticRegression-i10000.txt new file mode 100644 index 0000000..b7926d4 --- /dev/null +++ b/games_march2025_cleaned/LogisticRegression-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.78 0.91 0.84 300 + 1 0.78 0.62 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.04 0.07 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.81 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.90 0.34 0.49 127 + 9 0.00 0.00 0.00 12 + 10 0.89 0.25 0.39 127 + 11 0.00 0.00 0.00 14 + 12 0.88 0.14 0.24 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.50 0.61 1404 + macro avg 0.50 0.22 0.26 1404 +weighted avg 0.77 0.50 0.53 1404 + samples avg 0.77 0.56 0.60 1404 diff --git a/games_march2025_cleaned/MLPClassifier-i10000.txt b/games_march2025_cleaned/MLPClassifier-i10000.txt new file mode 100644 index 0000000..c4634dc --- /dev/null +++ b/games_march2025_cleaned/MLPClassifier-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.84 0.85 0.84 300 + 1 0.73 0.67 0.70 216 + 2 0.74 0.30 0.43 86 + 3 0.50 0.02 0.04 46 + 4 0.69 0.24 0.36 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.79 0.79 245 + 7 0.86 0.14 0.24 42 + 8 0.76 0.63 0.69 127 + 9 1.00 0.33 0.50 12 + 10 0.81 0.52 0.63 127 + 11 1.00 0.14 0.25 14 + 12 0.75 0.41 0.53 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.60 0.68 1404 + macro avg 0.68 0.36 0.43 1404 +weighted avg 0.78 0.60 0.65 1404 + samples avg 0.80 0.66 0.68 1404 diff --git a/comparisons/MultinomialNB-a1,00.txt b/games_march2025_cleaned/MultinomialNB.txt similarity index 94% rename from comparisons/MultinomialNB-a1,00.txt rename to games_march2025_cleaned/MultinomialNB.txt index 595dfd1..bc74cf3 100644 --- a/comparisons/MultinomialNB-a1,00.txt +++ b/games_march2025_cleaned/MultinomialNB.txt @@ -18,4 +18,4 @@ micro avg 0.69 0.40 0.51 1404 macro avg 0.45 0.16 0.17 1404 weighted avg 0.68 0.40 0.39 1404 - samples avg 0.70 0.44 0.50 1404 \ No newline at end of file + samples avg 0.70 0.44 0.50 1404 diff --git a/games_march2025_cleaned/RandomForestClassifier.txt b/games_march2025_cleaned/RandomForestClassifier.txt new file mode 100644 index 0000000..6fbe546 --- /dev/null +++ b/games_march2025_cleaned/RandomForestClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.80 0.88 0.84 300 + 1 0.78 0.55 0.64 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.06 0.11 83 + 5 0.00 0.00 0.00 0 + 6 0.74 0.78 0.76 245 + 7 0.00 0.00 0.00 42 + 8 0.84 0.24 0.38 127 + 9 0.00 0.00 0.00 12 + 10 0.91 0.24 0.38 127 + 11 1.00 0.14 0.25 14 + 12 1.00 0.25 0.39 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.48 0.59 1404 + macro avg 0.58 0.23 0.27 1404 +weighted avg 0.78 0.48 0.52 1404 + samples avg 0.77 0.54 0.60 1404 diff --git a/games_march2025_cleaned/SVC-RBF-i10000.txt b/games_march2025_cleaned/SVC-RBF-i10000.txt new file mode 100644 index 0000000..ff0c7b7 --- /dev/null +++ b/games_march2025_cleaned/SVC-RBF-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.81 0.90 0.85 300 + 1 0.76 0.63 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.05 0.09 83 + 5 0.00 0.00 0.00 0 + 6 0.77 0.83 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.84 0.40 0.54 127 + 9 1.00 0.17 0.29 12 + 10 0.90 0.34 0.49 127 + 11 1.00 0.14 0.25 14 + 12 0.92 0.21 0.34 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.80 0.53 0.63 1404 + macro avg 0.64 0.26 0.32 1404 +weighted avg 0.79 0.53 0.56 1404 + samples avg 0.79 0.59 0.63 1404 diff --git a/games_march2025_cleaned_10k/BernoulliNB.txt b/games_march2025_cleaned_10k/BernoulliNB.txt new file mode 100644 index 0000000..f2237d4 --- /dev/null +++ b/games_march2025_cleaned_10k/BernoulliNB.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.75 0.90 0.82 300 + 1 0.72 0.68 0.70 216 + 2 0.50 0.08 0.14 86 + 3 0.27 0.07 0.11 46 + 4 0.40 0.07 0.12 83 + 5 0.00 0.00 0.00 0 + 6 0.77 0.82 0.79 245 + 7 0.33 0.10 0.15 42 + 8 0.67 0.40 0.50 127 + 9 0.00 0.00 0.00 12 + 10 0.71 0.37 0.49 127 + 11 0.00 0.00 0.00 14 + 12 0.49 0.31 0.38 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.70 0.55 0.62 1404 + macro avg 0.40 0.27 0.30 1404 +weighted avg 0.64 0.55 0.56 1404 + samples avg 0.73 0.59 0.61 1404 diff --git a/games_march2025_cleaned_10k/DecisionTreeClassifier.txt b/games_march2025_cleaned_10k/DecisionTreeClassifier.txt new file mode 100644 index 0000000..900c256 --- /dev/null +++ b/games_march2025_cleaned_10k/DecisionTreeClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.76 0.73 0.75 300 + 1 0.56 0.53 0.54 216 + 2 0.36 0.33 0.34 86 + 3 0.33 0.26 0.29 46 + 4 0.40 0.46 0.43 83 + 5 0.00 0.00 0.00 0 + 6 0.65 0.61 0.63 245 + 7 0.39 0.40 0.40 42 + 8 0.59 0.57 0.58 127 + 9 0.60 0.25 0.35 12 + 10 0.56 0.51 0.53 127 + 11 0.39 0.50 0.44 14 + 12 0.52 0.49 0.50 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.58 0.55 0.57 1404 + macro avg 0.44 0.40 0.41 1404 +weighted avg 0.58 0.55 0.57 1404 + samples avg 0.59 0.59 0.55 1404 diff --git a/games_march2025_cleaned_10k/GaussianNB.txt b/games_march2025_cleaned_10k/GaussianNB.txt new file mode 100644 index 0000000..83d7a2e --- /dev/null +++ b/games_march2025_cleaned_10k/GaussianNB.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.76 0.80 0.78 300 + 1 0.62 0.51 0.56 216 + 2 0.63 0.14 0.23 86 + 3 0.17 0.02 0.04 46 + 4 0.42 0.10 0.16 83 + 5 0.00 0.00 0.00 0 + 6 0.68 0.66 0.67 245 + 7 0.56 0.12 0.20 42 + 8 0.55 0.33 0.41 127 + 9 0.67 0.17 0.27 12 + 10 0.65 0.31 0.42 127 + 11 1.00 0.14 0.25 14 + 12 0.53 0.29 0.38 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.66 0.47 0.55 1404 + macro avg 0.52 0.26 0.31 1404 +weighted avg 0.62 0.47 0.51 1404 + samples avg 0.67 0.53 0.55 1404 diff --git a/games_march2025_cleaned_10k/GradientBoostingClassifier.txt b/games_march2025_cleaned_10k/GradientBoostingClassifier.txt new file mode 100644 index 0000000..7c8ce6e --- /dev/null +++ b/games_march2025_cleaned_10k/GradientBoostingClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.85 0.80 0.83 300 + 1 0.77 0.61 0.68 216 + 2 0.55 0.13 0.21 86 + 3 0.42 0.11 0.17 46 + 4 0.68 0.33 0.44 83 + 5 0.00 0.00 0.00 0 + 6 0.71 0.76 0.74 245 + 7 0.61 0.26 0.37 42 + 8 0.81 0.50 0.61 127 + 9 0.75 0.25 0.38 12 + 10 0.81 0.54 0.65 127 + 11 0.40 0.43 0.41 14 + 12 0.69 0.42 0.53 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.76 0.57 0.65 1404 + macro avg 0.57 0.37 0.43 1404 +weighted avg 0.74 0.57 0.63 1404 + samples avg 0.76 0.63 0.65 1404 diff --git a/games_march2025_cleaned_10k/LinearSVC-i5000.txt b/games_march2025_cleaned_10k/LinearSVC-i5000.txt new file mode 100644 index 0000000..df82b40 --- /dev/null +++ b/games_march2025_cleaned_10k/LinearSVC-i5000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.85 0.87 0.86 300 + 1 0.76 0.66 0.70 216 + 2 0.77 0.20 0.31 86 + 3 0.00 0.00 0.00 46 + 4 0.76 0.27 0.39 83 + 5 0.00 0.00 0.00 0 + 6 0.78 0.81 0.79 245 + 7 0.89 0.19 0.31 42 + 8 0.77 0.60 0.67 127 + 9 1.00 0.58 0.74 12 + 10 0.85 0.54 0.66 127 + 11 1.00 0.29 0.44 14 + 12 0.82 0.42 0.56 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.80 0.61 0.69 1404 + macro avg 0.66 0.39 0.46 1404 +weighted avg 0.78 0.61 0.66 1404 + samples avg 0.81 0.67 0.69 1404 diff --git a/games_march2025_cleaned_10k/LogisticRegression-i1000.txt b/games_march2025_cleaned_10k/LogisticRegression-i1000.txt new file mode 100644 index 0000000..b7926d4 --- /dev/null +++ b/games_march2025_cleaned_10k/LogisticRegression-i1000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.78 0.91 0.84 300 + 1 0.78 0.62 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.04 0.07 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.81 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.90 0.34 0.49 127 + 9 0.00 0.00 0.00 12 + 10 0.89 0.25 0.39 127 + 11 0.00 0.00 0.00 14 + 12 0.88 0.14 0.24 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.50 0.61 1404 + macro avg 0.50 0.22 0.26 1404 +weighted avg 0.77 0.50 0.53 1404 + samples avg 0.77 0.56 0.60 1404 diff --git a/games_march2025_cleaned_10k/LogisticRegression-i10000.txt b/games_march2025_cleaned_10k/LogisticRegression-i10000.txt new file mode 100644 index 0000000..b7926d4 --- /dev/null +++ b/games_march2025_cleaned_10k/LogisticRegression-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.78 0.91 0.84 300 + 1 0.78 0.62 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.04 0.07 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.81 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.90 0.34 0.49 127 + 9 0.00 0.00 0.00 12 + 10 0.89 0.25 0.39 127 + 11 0.00 0.00 0.00 14 + 12 0.88 0.14 0.24 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.50 0.61 1404 + macro avg 0.50 0.22 0.26 1404 +weighted avg 0.77 0.50 0.53 1404 + samples avg 0.77 0.56 0.60 1404 diff --git a/games_march2025_cleaned_10k/MLPClassifier-i10000.txt b/games_march2025_cleaned_10k/MLPClassifier-i10000.txt new file mode 100644 index 0000000..c4634dc --- /dev/null +++ b/games_march2025_cleaned_10k/MLPClassifier-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.84 0.85 0.84 300 + 1 0.73 0.67 0.70 216 + 2 0.74 0.30 0.43 86 + 3 0.50 0.02 0.04 46 + 4 0.69 0.24 0.36 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.79 0.79 245 + 7 0.86 0.14 0.24 42 + 8 0.76 0.63 0.69 127 + 9 1.00 0.33 0.50 12 + 10 0.81 0.52 0.63 127 + 11 1.00 0.14 0.25 14 + 12 0.75 0.41 0.53 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.60 0.68 1404 + macro avg 0.68 0.36 0.43 1404 +weighted avg 0.78 0.60 0.65 1404 + samples avg 0.80 0.66 0.68 1404 diff --git a/comparisons/MultinomialNB-a0,5.txt b/games_march2025_cleaned_10k/MultinomialNB.txt similarity index 57% rename from comparisons/MultinomialNB-a0,5.txt rename to games_march2025_cleaned_10k/MultinomialNB.txt index 42817d1..bc74cf3 100644 --- a/comparisons/MultinomialNB-a0,5.txt +++ b/games_march2025_cleaned_10k/MultinomialNB.txt @@ -1,21 +1,21 @@ precision recall f1-score support - 0 0.68 0.97 0.80 300 - 1 0.82 0.39 0.53 216 + 0 0.64 0.99 0.78 300 + 1 0.85 0.24 0.37 216 2 0.60 0.03 0.07 86 3 0.00 0.00 0.00 46 4 0.80 0.05 0.09 83 5 0.00 0.00 0.00 0 - 6 0.78 0.81 0.80 245 + 6 0.78 0.80 0.79 245 7 0.40 0.05 0.09 42 8 1.00 0.04 0.08 127 9 0.00 0.00 0.00 12 - 10 0.43 0.02 0.04 127 + 10 0.20 0.01 0.02 127 11 0.00 0.00 0.00 14 12 1.00 0.05 0.09 106 13 0.00 0.00 0.00 0 - micro avg 0.71 0.42 0.53 1404 - macro avg 0.47 0.17 0.18 1404 -weighted avg 0.71 0.42 0.42 1404 - samples avg 0.72 0.47 0.53 1404 \ No newline at end of file + micro avg 0.69 0.40 0.51 1404 + macro avg 0.45 0.16 0.17 1404 +weighted avg 0.68 0.40 0.39 1404 + samples avg 0.70 0.44 0.50 1404 diff --git a/games_march2025_cleaned_10k/RandomForestClassifier.txt b/games_march2025_cleaned_10k/RandomForestClassifier.txt new file mode 100644 index 0000000..6fbe546 --- /dev/null +++ b/games_march2025_cleaned_10k/RandomForestClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.80 0.88 0.84 300 + 1 0.78 0.55 0.64 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.06 0.11 83 + 5 0.00 0.00 0.00 0 + 6 0.74 0.78 0.76 245 + 7 0.00 0.00 0.00 42 + 8 0.84 0.24 0.38 127 + 9 0.00 0.00 0.00 12 + 10 0.91 0.24 0.38 127 + 11 1.00 0.14 0.25 14 + 12 1.00 0.25 0.39 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.48 0.59 1404 + macro avg 0.58 0.23 0.27 1404 +weighted avg 0.78 0.48 0.52 1404 + samples avg 0.77 0.54 0.60 1404 diff --git a/games_march2025_cleaned_10k/SVC-RBF-i10000.txt b/games_march2025_cleaned_10k/SVC-RBF-i10000.txt new file mode 100644 index 0000000..ff0c7b7 --- /dev/null +++ b/games_march2025_cleaned_10k/SVC-RBF-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.81 0.90 0.85 300 + 1 0.76 0.63 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.05 0.09 83 + 5 0.00 0.00 0.00 0 + 6 0.77 0.83 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.84 0.40 0.54 127 + 9 1.00 0.17 0.29 12 + 10 0.90 0.34 0.49 127 + 11 1.00 0.14 0.25 14 + 12 0.92 0.21 0.34 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.80 0.53 0.63 1404 + macro avg 0.64 0.26 0.32 1404 +weighted avg 0.79 0.53 0.56 1404 + samples avg 0.79 0.59 0.63 1404 diff --git a/games_march2025_cleaned_2k/BernoulliNB.txt b/games_march2025_cleaned_2k/BernoulliNB.txt new file mode 100644 index 0000000..f2237d4 --- /dev/null +++ b/games_march2025_cleaned_2k/BernoulliNB.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.75 0.90 0.82 300 + 1 0.72 0.68 0.70 216 + 2 0.50 0.08 0.14 86 + 3 0.27 0.07 0.11 46 + 4 0.40 0.07 0.12 83 + 5 0.00 0.00 0.00 0 + 6 0.77 0.82 0.79 245 + 7 0.33 0.10 0.15 42 + 8 0.67 0.40 0.50 127 + 9 0.00 0.00 0.00 12 + 10 0.71 0.37 0.49 127 + 11 0.00 0.00 0.00 14 + 12 0.49 0.31 0.38 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.70 0.55 0.62 1404 + macro avg 0.40 0.27 0.30 1404 +weighted avg 0.64 0.55 0.56 1404 + samples avg 0.73 0.59 0.61 1404 diff --git a/games_march2025_cleaned_2k/DecisionTreeClassifier.txt b/games_march2025_cleaned_2k/DecisionTreeClassifier.txt new file mode 100644 index 0000000..900c256 --- /dev/null +++ b/games_march2025_cleaned_2k/DecisionTreeClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.76 0.73 0.75 300 + 1 0.56 0.53 0.54 216 + 2 0.36 0.33 0.34 86 + 3 0.33 0.26 0.29 46 + 4 0.40 0.46 0.43 83 + 5 0.00 0.00 0.00 0 + 6 0.65 0.61 0.63 245 + 7 0.39 0.40 0.40 42 + 8 0.59 0.57 0.58 127 + 9 0.60 0.25 0.35 12 + 10 0.56 0.51 0.53 127 + 11 0.39 0.50 0.44 14 + 12 0.52 0.49 0.50 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.58 0.55 0.57 1404 + macro avg 0.44 0.40 0.41 1404 +weighted avg 0.58 0.55 0.57 1404 + samples avg 0.59 0.59 0.55 1404 diff --git a/games_march2025_cleaned_2k/GaussianNB.txt b/games_march2025_cleaned_2k/GaussianNB.txt new file mode 100644 index 0000000..83d7a2e --- /dev/null +++ b/games_march2025_cleaned_2k/GaussianNB.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.76 0.80 0.78 300 + 1 0.62 0.51 0.56 216 + 2 0.63 0.14 0.23 86 + 3 0.17 0.02 0.04 46 + 4 0.42 0.10 0.16 83 + 5 0.00 0.00 0.00 0 + 6 0.68 0.66 0.67 245 + 7 0.56 0.12 0.20 42 + 8 0.55 0.33 0.41 127 + 9 0.67 0.17 0.27 12 + 10 0.65 0.31 0.42 127 + 11 1.00 0.14 0.25 14 + 12 0.53 0.29 0.38 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.66 0.47 0.55 1404 + macro avg 0.52 0.26 0.31 1404 +weighted avg 0.62 0.47 0.51 1404 + samples avg 0.67 0.53 0.55 1404 diff --git a/games_march2025_cleaned_2k/GradientBoostingClassifier.txt b/games_march2025_cleaned_2k/GradientBoostingClassifier.txt new file mode 100644 index 0000000..7c8ce6e --- /dev/null +++ b/games_march2025_cleaned_2k/GradientBoostingClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.85 0.80 0.83 300 + 1 0.77 0.61 0.68 216 + 2 0.55 0.13 0.21 86 + 3 0.42 0.11 0.17 46 + 4 0.68 0.33 0.44 83 + 5 0.00 0.00 0.00 0 + 6 0.71 0.76 0.74 245 + 7 0.61 0.26 0.37 42 + 8 0.81 0.50 0.61 127 + 9 0.75 0.25 0.38 12 + 10 0.81 0.54 0.65 127 + 11 0.40 0.43 0.41 14 + 12 0.69 0.42 0.53 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.76 0.57 0.65 1404 + macro avg 0.57 0.37 0.43 1404 +weighted avg 0.74 0.57 0.63 1404 + samples avg 0.76 0.63 0.65 1404 diff --git a/games_march2025_cleaned_2k/LinearSVC-i5000.txt b/games_march2025_cleaned_2k/LinearSVC-i5000.txt new file mode 100644 index 0000000..df82b40 --- /dev/null +++ b/games_march2025_cleaned_2k/LinearSVC-i5000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.85 0.87 0.86 300 + 1 0.76 0.66 0.70 216 + 2 0.77 0.20 0.31 86 + 3 0.00 0.00 0.00 46 + 4 0.76 0.27 0.39 83 + 5 0.00 0.00 0.00 0 + 6 0.78 0.81 0.79 245 + 7 0.89 0.19 0.31 42 + 8 0.77 0.60 0.67 127 + 9 1.00 0.58 0.74 12 + 10 0.85 0.54 0.66 127 + 11 1.00 0.29 0.44 14 + 12 0.82 0.42 0.56 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.80 0.61 0.69 1404 + macro avg 0.66 0.39 0.46 1404 +weighted avg 0.78 0.61 0.66 1404 + samples avg 0.81 0.67 0.69 1404 diff --git a/games_march2025_cleaned_2k/LogisticRegression-i1000.txt b/games_march2025_cleaned_2k/LogisticRegression-i1000.txt new file mode 100644 index 0000000..b7926d4 --- /dev/null +++ b/games_march2025_cleaned_2k/LogisticRegression-i1000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.78 0.91 0.84 300 + 1 0.78 0.62 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.04 0.07 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.81 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.90 0.34 0.49 127 + 9 0.00 0.00 0.00 12 + 10 0.89 0.25 0.39 127 + 11 0.00 0.00 0.00 14 + 12 0.88 0.14 0.24 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.50 0.61 1404 + macro avg 0.50 0.22 0.26 1404 +weighted avg 0.77 0.50 0.53 1404 + samples avg 0.77 0.56 0.60 1404 diff --git a/games_march2025_cleaned_2k/LogisticRegression-i10000.txt b/games_march2025_cleaned_2k/LogisticRegression-i10000.txt new file mode 100644 index 0000000..b7926d4 --- /dev/null +++ b/games_march2025_cleaned_2k/LogisticRegression-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.78 0.91 0.84 300 + 1 0.78 0.62 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.04 0.07 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.81 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.90 0.34 0.49 127 + 9 0.00 0.00 0.00 12 + 10 0.89 0.25 0.39 127 + 11 0.00 0.00 0.00 14 + 12 0.88 0.14 0.24 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.50 0.61 1404 + macro avg 0.50 0.22 0.26 1404 +weighted avg 0.77 0.50 0.53 1404 + samples avg 0.77 0.56 0.60 1404 diff --git a/games_march2025_cleaned_2k/MLPClassifier-i10000.txt b/games_march2025_cleaned_2k/MLPClassifier-i10000.txt new file mode 100644 index 0000000..c4634dc --- /dev/null +++ b/games_march2025_cleaned_2k/MLPClassifier-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.84 0.85 0.84 300 + 1 0.73 0.67 0.70 216 + 2 0.74 0.30 0.43 86 + 3 0.50 0.02 0.04 46 + 4 0.69 0.24 0.36 83 + 5 0.00 0.00 0.00 0 + 6 0.79 0.79 0.79 245 + 7 0.86 0.14 0.24 42 + 8 0.76 0.63 0.69 127 + 9 1.00 0.33 0.50 12 + 10 0.81 0.52 0.63 127 + 11 1.00 0.14 0.25 14 + 12 0.75 0.41 0.53 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.60 0.68 1404 + macro avg 0.68 0.36 0.43 1404 +weighted avg 0.78 0.60 0.65 1404 + samples avg 0.80 0.66 0.68 1404 diff --git a/games_march2025_cleaned_2k/MultinomialNB.txt b/games_march2025_cleaned_2k/MultinomialNB.txt new file mode 100644 index 0000000..bc74cf3 --- /dev/null +++ b/games_march2025_cleaned_2k/MultinomialNB.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.64 0.99 0.78 300 + 1 0.85 0.24 0.37 216 + 2 0.60 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 0.80 0.05 0.09 83 + 5 0.00 0.00 0.00 0 + 6 0.78 0.80 0.79 245 + 7 0.40 0.05 0.09 42 + 8 1.00 0.04 0.08 127 + 9 0.00 0.00 0.00 12 + 10 0.20 0.01 0.02 127 + 11 0.00 0.00 0.00 14 + 12 1.00 0.05 0.09 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.69 0.40 0.51 1404 + macro avg 0.45 0.16 0.17 1404 +weighted avg 0.68 0.40 0.39 1404 + samples avg 0.70 0.44 0.50 1404 diff --git a/games_march2025_cleaned_2k/RandomForestClassifier.txt b/games_march2025_cleaned_2k/RandomForestClassifier.txt new file mode 100644 index 0000000..6fbe546 --- /dev/null +++ b/games_march2025_cleaned_2k/RandomForestClassifier.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.80 0.88 0.84 300 + 1 0.78 0.55 0.64 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.06 0.11 83 + 5 0.00 0.00 0.00 0 + 6 0.74 0.78 0.76 245 + 7 0.00 0.00 0.00 42 + 8 0.84 0.24 0.38 127 + 9 0.00 0.00 0.00 12 + 10 0.91 0.24 0.38 127 + 11 1.00 0.14 0.25 14 + 12 1.00 0.25 0.39 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.79 0.48 0.59 1404 + macro avg 0.58 0.23 0.27 1404 +weighted avg 0.78 0.48 0.52 1404 + samples avg 0.77 0.54 0.60 1404 diff --git a/games_march2025_cleaned_2k/SVC-RBF-i10000.txt b/games_march2025_cleaned_2k/SVC-RBF-i10000.txt new file mode 100644 index 0000000..ff0c7b7 --- /dev/null +++ b/games_march2025_cleaned_2k/SVC-RBF-i10000.txt @@ -0,0 +1,21 @@ + precision recall f1-score support + + 0 0.81 0.90 0.85 300 + 1 0.76 0.63 0.69 216 + 2 1.00 0.03 0.07 86 + 3 0.00 0.00 0.00 46 + 4 1.00 0.05 0.09 83 + 5 0.00 0.00 0.00 0 + 6 0.77 0.83 0.80 245 + 7 0.00 0.00 0.00 42 + 8 0.84 0.40 0.54 127 + 9 1.00 0.17 0.29 12 + 10 0.90 0.34 0.49 127 + 11 1.00 0.14 0.25 14 + 12 0.92 0.21 0.34 106 + 13 0.00 0.00 0.00 0 + + micro avg 0.80 0.53 0.63 1404 + macro avg 0.64 0.26 0.32 1404 +weighted avg 0.79 0.53 0.56 1404 + samples avg 0.79 0.59 0.63 1404