chatgpt — Run #145 (2024-12-02)
using 4o model

Overall Score: 43.8%
(40% Setup Score + 60% Test Score)

DA-bench Setup for Run #145 — Setup Score: 57.1% (4 / 7)

See how this tool was set up for the test.

Setup Less Than 20 Minutes
Connects to Data Warehouse
Handles 1TB Table
No Individual Upload of Files
No Python for Setup
No SQL for Setup

DA-bench Results for Run #145 — Test Score: 34.9% (75 / 215)

Data Querying (55 / 120)

16 Correct Answers, 5 Hallucinations

Question	Date Tested	Overall Score	Video Recording
dq01 Perform an aggregation on an explicit column	2024-12-02	5	X
dq02 Perform an aggregation with an explicit table but not an inferred column	2024-12-02	5	X
dq03 Perform an aggregation with an implicit table and implicit column	2024-12-02	5	X
dq04 Find and compare information across tables without joins	2024-12-04	5	X
dq05 Work with non-literal values	2024-12-02	5	X
dq06 Work with non-literal values and non-SQL data manipulation	2024-12-02	5	X
dq07 Deal with common acronymns and more advanced aggregations	2024-12-02	0	X
dq08 Multi-step queries	2024-12-02	-5	X
dq09 Aggregations with numeric predicates to filter	2024-12-02	-5	X
dq10 Aggregations with categorical predicates to filter	2024-12-02	-5	X
dq11 Schema review	2024-12-02	0	X
dq12 Aggregate records that are filtered with a predicate requiring a join	2024-12-02	5	X
dq13 Recognizes truly ambiguous queries.	2024-12-02	-5	X
dq14 Can handle boolean features	2024-12-02	5	X
dq15 Handles ambiguous column names	2024-12-02	-5	X
dq16 Understands set operates require consideration of overlap	2024-12-04	5	X
dq17 Finds relevant values inside a Column to answer questions	2024-12-02	5	X
dq18 Lookup a single record by ID	2024-12-02	5	X
dq19 Perform an aggregation by a different name and a second query from that	2024-12-02	5	X
dq20 Perform an aggregation based on a very different question name	2024-12-02	5	X
dq21 Perform a filter and an unusually-phrased aggregation in the correct order	2024-12-02	5	X
dq23 Can handle incorrect column names well	2024-12-02	5	X
dq24 Schema review	2024-12-02	0	X
dq25 Work with non-literal values	2024-12-02	5	X

Domain Knowledge (5 / 5)

1 Correct Answer, 0 Hallucinations

Question	Date Tested	Overall Score	Video Recording
dk01 Column Relevance Determination	2024-12-02	5	X

Feature Engineering (25 / 40)

6 Correct Answers, 1 Hallucination

Question	Date Tested	Overall Score	Video Recording
fe1 Make a boolean indicator feature for a criteria set	2024-12-02	5	X
fe2 Make a categorical feature from a criteria set	2024-12-02	5	X
fe3 Minmax normalization	2024-12-02	5	X
fe4 Combining two input columns	2024-12-02	5	X
fe5 Sentiment	2024-12-02	-5	X
fe6 Phrase Identification in Text	2024-12-02	5	X
fe7 Advanced NLQ	2024-12-02	5	X
fe8 Advanced NLQ	2024-12-04	0	X

Insight Identification (5 / 25)

3 Correct Answers, 2 Hallucinations

Question	Date Tested	Overall Score	Video Recording
ii2 Compare an aggregation for two distinct subsets of data	2024-12-02	5	X
ii5 Identifying basic trends on short timelines	2024-12-02	5	X
ii6 Understands statistical significance	2024-12-02	5	X
ii7 Understands derivitives	2024-12-02	-5	X
ii8 Can use NLQ feature engineering as part of an insight request	2024-12-02	-5	X