Update workflow.py

[yaronha]

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[yaronha]

/run

[github-actions]

Pipeline started id=0a9a9b38-fc9c-4577-8e1a-3cd1d5ada45f, commit=400a634

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Run Results

Workflow 0a9a9b38-fc9c-4577-8e1a-3cd1d5ada45f finished, status=Succeeded
click the hyper links below to see detailed results

uid	start	state	name	results	artifacts
...01d514c1	Jun 10 13:00:39	completed	model-tester	total_tests=15 errors=0 match=14 avg_latency=7307 min_latency=5300 max_latency=8788	latency
...b76d84cd	Jun 10 13:00:28	completed	test	rocauc=0.3333333333333333 avg_precscore=0.3673982494785104 accuracy=0.9333333333333333 f1_score=0.9333333333333333	roc confusion test_set_preds
...e553b506	Jun 10 13:00:12	completed	train	best_iteration=2 rocauc=0.9945117845117846 accuracy=0.9705882352941176 f1_score=0.9705882352941176	test_set roc confusion model iteration_results
...5e87f461	Jun 10 13:00:02	completed	get-data		iris_dataset

[yaronha]

/run

[github-actions]

Pipeline started id=11a7da59-48f1-40fe-8d19-9dbf9b2cf20c, commit=12432a6

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Run Results

Workflow 11a7da59-48f1-40fe-8d19-9dbf9b2cf20c finished with 1 errors, status=Failed
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uid	start	state	name	results	artifacts
...e917b34c	Jun 10 23:46:38	error	test
...9f064fe4	Jun 10 23:46:20	completed	train		iteration_results
...365f4e17	Jun 10 23:46:08	completed	get-data		iris_dataset

[yaronha]

/run

[github-actions]

Pipeline started id=7c81a55a-c57e-48ed-9ed5-78dc81f52fa9, commit=12432a6

click here to check progress

[github-actions]

Run Results

Workflow 7c81a55a-c57e-48ed-9ed5-78dc81f52fa9 finished, status=Succeeded
click the hyper links below to see detailed results

uid	start	state	name	results	artifacts
...2d1e3a8c	Jun 10 23:52:51	completed	model-tester	total_tests=15 errors=0 match=14 avg_latency=12531 min_latency=11974 max_latency=13549	latency
...59904dba	Jun 10 23:52:27	completed	test	accuracy=0.9333333333333333 test-error=0.06666666666666667 auc-micro=0.9622222222222221 auc-weighted=0.9888888888888889 f1-score=0.9137254901960784 precision_score=0.8888888888888888 recall_score=0.9629629629629629	confusion-matrix feature-importances precision-recall-multiclass roc-multiclass test_set_preds
...42a960ea	Jun 10 23:52:10	completed	train	best_iteration=1 accuracy=0.9705882352941176 test-error=0.029411764705882353 auc-micro=0.9969723183391004 auc-weighted=0.9949732620320856 f1-score=0.9679633867276888 precision_score=0.9666666666666667 recall_score=0.9722222222222222	test_set confusion-matrix feature-importances precision-recall-multiclass roc-multiclass model iteration_results
...1d62e479	Jun 10 23:51:58	completed	get-data		iris_dataset