Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.6143  0.0049  0.0550  0.0556  0.0358  0.04
Ashkenazy 1981   9  0.728  0.0221  0.0818  0.3536  0.0922  0.18
Beliavsky 2004   49  0.6131  0.0051  0.0544  0.0548  0.0548  0.05
BenOr 1989   15  0.7136  0.0025  0.0727  0.2554  0.0528  0.11
Biret 1990   3  0.763  0.192  0.251  0.6734  0.0817  0.23
Blet 2003   59  0.5356  0.0060  0.0456  0.0443  0.0651  0.05
Block 1995   20  0.6948  0.0032  0.0732  0.1343  0.0536  0.08
Brailowsky 1960   54  0.5746  0.0054  0.0361  0.0358  0.0464  0.03
Chiu 1999   27  0.6827  0.0024  0.0722  0.3132  0.1812  0.24
Clidat 1994   44  0.6228  0.0050  0.0640  0.0639  0.0645  0.06
Cohen 1997   53  0.5841  0.0055  0.0360  0.0351  0.0465  0.03
Coop 1987   1  0.782  0.203  0.302  0.6525  0.411  0.52
Cortot 1951   31  0.6759  0.0034  0.0933  0.0946  0.0541  0.07
Czerny 1949   16  0.7015  0.0119  0.1016  0.3744  0.0724  0.16
Czerny 1949b   14  0.7132  0.0013  0.1214  0.4131  0.219  0.29
Ezaki 2006   30  0.6824  0.0136  0.0642  0.0642  0.0837  0.07
Falvay 1989   40  0.6461  0.0048  0.0543  0.0555  0.0455  0.04
Ferenczy 1958   42  0.6229  0.0041  0.0736  0.0736  0.0644  0.06
Fiorentino 1962   19  0.6954  0.0011  0.1310  0.4634  0.1119  0.22
Fliere 1977   12  0.7144  0.0015  0.1013  0.4238  0.0623  0.16
Fou 1978   22  0.6920  0.0123  0.0621  0.3330  0.2210  0.27
Francois 1956   61  0.469  0.0259  0.0458  0.0433  0.1142  0.07
Hatto 1997   26  0.6851  0.0030  0.0731  0.1545  0.0633  0.09
Horowitz 1971   48  0.6149  0.0046  0.0545  0.0552  0.0553  0.05
Horowitz 1985   56  0.5633  0.0035  0.0738  0.0740  0.0738  0.07
Indjic 2001   13  0.7145  0.0020  0.0925  0.2843  0.0626  0.13
Kapell 1951   11  0.7138  0.0017  0.1017  0.3757  0.0525  0.14
Kiepura 1999   35  0.6621  0.0142  0.0551  0.0535  0.0647  0.05
Kilenyi 1937   25  0.6837  0.0022  0.0819  0.3431  0.1713  0.24
Kissin 1993   6  0.7310  0.015  0.197  0.5434  0.1015  0.23
Kitain 1937   62  0.4426  0.0161  0.0453  0.0451  0.0562  0.04
Kushner 1990   60  0.5050  0.0062  0.0547  0.0542  0.0649  0.05
Levy 1951   7  0.7217  0.017  0.134  0.5832  0.166  0.30
Luisada 1990   34  0.6723  0.0139  0.0735  0.0745  0.0646  0.06
Lushtak 2004   55  0.5664  0.0057  0.0457  0.0457  0.0559  0.04
Lympany 1968   57  0.5660  0.0056  0.0362  0.0357  0.0463  0.03
Magaloff 1977   24  0.6812  0.0127  0.1224  0.3029  0.1816  0.23
Magaloff 1977b   21  0.696  0.0226  0.0723  0.3027  0.2014  0.24
Magin 1975   10  0.724  0.076  0.139  0.5019  0.512  0.50
Milkina 1970   33  0.6753  0.0033  0.0639  0.0639  0.0643  0.06
Mohovich 1999   39  0.6539  0.0045  0.0546  0.0561  0.0461  0.04
Nadelmann 1956   51  0.5930  0.0047  0.0548  0.0558  0.0456  0.04
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Olejniczac 1990   18  0.6958  0.0012  0.1211  0.4434  0.1020  0.21
Olejniczak 1991   41  0.6462  0.0037  0.0737  0.0738  0.0739  0.07
Osinska 1989   17  0.6935  0.0028  0.0826  0.2856  0.0527  0.12
Paderewski 1912   32  0.6716  0.0116  0.0915  0.3720  0.414  0.39
Perahia 1994   50  0.5913  0.0118  0.0928  0.1945  0.0530  0.10
Perlemuter 1986   58  0.5547  0.0058  0.0549  0.0547  0.0650  0.05
Poblocka 1999   5  0.7518  0.019  0.158  0.5338  0.0918  0.22
Rangell 2001   36  0.6640  0.0038  0.0834  0.0843  0.0640  0.07
Risler 1920   45  0.6119  0.0131  0.0730  0.1621  0.3511  0.24
Rosen 1989   46  0.6125  0.0152  0.0452  0.0445  0.0652  0.05
Rubinstein 1939   43  0.6211  0.0143  0.0454  0.0428  0.1735  0.08
Rubinstein 1952   23  0.6834  0.0040  0.0641  0.0653  0.0554  0.05
Rubinstein 1966   37  0.6555  0.0044  0.0455  0.0453  0.0457  0.04
Rummel 1943   52  0.5857  0.0053  0.0459  0.0456  0.0460  0.04
Shebanova 2002   28  0.685  0.0410  0.1020  0.3419  0.285  0.31
Smith 1975   8  0.7214  0.018  0.146  0.5632  0.158  0.29
Szpilman 1948   29  0.6822  0.0114  0.1012  0.4330  0.197  0.29
Uninsky 1971   38  0.6542  0.0029  0.0829  0.1847  0.0532  0.09
Wasowski 1980   2  0.781  0.201  0.203  0.6123  0.353  0.46
Weissenberg 1971   4  0.757  0.024  0.155  0.5744  0.0621  0.18
Random 1    65  0.0063  0.0065  0.0265  0.0214  0.4629  0.10
Random 2   63  0.0465  0.0063  0.0263  0.025  0.4434  0.09
Random 3   64  0.0152  0.0064  0.0264  0.022  0.5431  0.10

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).