results of GraphLab's machine learning process

gistfile1.txt

SUCCESS: Optimal solution found.

PROGRESS: Model selection based on validation accuracy:
PROGRESS: ---------------------------------------------
PROGRESS: BoostedTreesClassifier          : 0.833333313465
PROGRESS: RandomForestClassifier          : 0.833333313465
PROGRESS: DecisionTreeClassifier          : 0.833333313465
PROGRESS: LogisticClassifier              : 0.833333
PROGRESS: ---------------------------------------------
PROGRESS: Selecting BoostedTreesClassifier based on validation set performance.
>>> predictions = model.classify(test_data)
>>> results = model.evaluate(test_data)
>>> results
{'f1_score': 0.9679633867276888, 'auc': 0.9955012077294686, 'recall': 0.9722222222222222, 'precision': 0.9666666666666667, 'log_loss': 0.16391208595710882, 'roc_curve': Columns:
       	threshold      	float
       	fpr    	float
       	tpr    	float
       	p      	int
       	n      	int
       	class  	int

Rows: 300003

Data:
+-----------+-----+-----+----+----+-------+
| threshold | fpr | tpr | p  | n  | class |
+-----------+-----+-----+----+----+-------+
|    0.0    | 1.0 | 1.0 | 11 | 21 |   0   |
|   1e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   2e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   3e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   4e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   5e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   6e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   7e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   8e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
|   9e-05   | 1.0 | 1.0 | 11 | 21 |   0   |
+-----------+-----+-----+----+----+-------+
[300003 rows x 6 columns]
Note: Only the head of the SFrame is printed.
You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns., 'confusion_matrix': Columns:
       	target_label   	str
       	predicted_label	str
       	count  	int

Rows: 4

Data:
+-----------------+-----------------+-------+
|   target_label  | predicted_label | count |
+-----------------+-----------------+-------+
|   Iris-setosa   |   Iris-setosa   |   11  |
| Iris-versicolor | Iris-versicolor |   11  |
| Iris-versicolor |  Iris-virginica |   1   |
|  Iris-virginica |  Iris-virginica |   9   |
+-----------------+-----------------+-------+
[4 rows x 3 columns]
, 'accuracy': 0.96875}