Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5662  0.0029  0.0624  0.2643  0.1134  0.17
Anderszewski 2003   4  0.7173  0.004  0.238  0.533  0.554  0.54
Ashkenazy 1981   3  0.7337  0.006  0.194  0.586  0.523  0.55
Bacha 2000   31  0.5621  0.0049  0.0554  0.0538  0.1748  0.09
Badura 1965   49  0.5031  0.0058  0.0463  0.0428  0.3440  0.12
Barbosa 1983   55  0.4979  0.0065  0.0846  0.0839  0.1738  0.12
Biret 1990   14  0.614  0.0025  0.0718  0.3233  0.2419  0.28
Blet 2003   16  0.6180  0.0026  0.0921  0.2825  0.2918  0.28
Block 1995   85  0.2914  0.0079  0.0378  0.0379  0.0382  0.03
Blumental 1952   38  0.5439  0.0057  0.0472  0.0429  0.1757  0.08
Boshniakovich 1969   58  0.4722  0.0051  0.0376  0.0335  0.1958  0.08
Brailowsky 1960   57  0.4774  0.0072  0.0468  0.0449  0.0571  0.04
Bunin 1987   44  0.5223  0.0060  0.0551  0.0533  0.2942  0.12
Bunin 1987b   46  0.5145  0.0059  0.0460  0.0433  0.3144  0.11
Chiu 1999   33  0.5563  0.0054  0.0473  0.0433  0.2149  0.09
Cohen 1997   68  0.4372  0.0076  0.0462  0.0429  0.2051  0.09
Cortot 1951   48  0.5081  0.0063  0.0749  0.0745  0.1059  0.08
Csalog 1996   79  0.3149  0.0067  0.0559  0.0535  0.1750  0.09
Czerny 1949   43  0.5216  0.0032  0.0627  0.2238  0.1631  0.19
Czerny 1990   30  0.569  0.0036  0.0542  0.1177  0.0364  0.06
Duchoud 2007   18  0.6064  0.0017  0.0820  0.3113  0.4013  0.35
Ezaki 2006   12  0.6327  0.0024  0.0522  0.2847  0.0636  0.13
Falvay 1989   78  0.3338  0.0084  0.0383  0.0369  0.0477  0.03
Farrell 1958   23  0.5867  0.0055  0.0380  0.0357  0.0572  0.04
Ferenczy 1958   34  0.5525  0.0035  0.0736  0.1420  0.3029  0.20
Fliere 1977   9  0.6565  0.009  0.1710  0.5032  0.2911  0.38
Fou 1978   41  0.5340  0.0040  0.0433  0.1763  0.0454  0.08
Francois 1956   73  0.3951  0.0070  0.0469  0.0473  0.0388  0.03
Friedman 1923   22  0.5889  0.0028  0.0730  0.2122  0.3421  0.27
Friedman 1923b   20  0.5888  0.0027  0.0729  0.2121  0.3620  0.27
Friedman 1930   21  0.5855  0.0016  0.0925  0.2512  0.4714  0.34
Garcia 2007   50  0.5082  0.0061  0.0555  0.0543  0.1060  0.07
Garcia 2007b   63  0.4541  0.0056  0.0379  0.0342  0.1069  0.05
Gierzod 1998   11  0.6333  0.0014  0.149  0.5221  0.369  0.43
Gornostaeva 1994   74  0.3960  0.0074  0.0465  0.0472  0.0384  0.03
Groot 1988   70  0.4156  0.0071  0.0381  0.0382  0.0386  0.03
Harasiewicz 1955   47  0.5134  0.0021  0.0731  0.2138  0.1632  0.18
Hatto 1993   2  0.982  0.032  0.942  0.972  0.982  0.97
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   51  0.5083  0.0041  0.0635  0.1436  0.3128  0.21
Indjic 1988   1  0.991  0.951  0.941  0.982  0.991  0.98
Kapell 1951   26  0.5752  0.0013  0.1214  0.4028  0.2815  0.33
Kissin 1993   59  0.4750  0.0044  0.0540  0.1150  0.0656  0.08
Kushner 1989   42  0.5313  0.0062  0.0552  0.0550  0.0568  0.05
Luisada 1991   6  0.7059  0.007  0.177  0.5314  0.485  0.50
Lushtak 2004   8  0.678  0.0015  0.1615  0.3924  0.2516  0.31
Malcuzynski 1961   75  0.385  0.0045  0.0544  0.0952  0.0463  0.06
Magaloff 1978   65  0.447  0.0042  0.0538  0.1358  0.0553  0.08
Magin 1975   27  0.5636  0.0018  0.0819  0.3128  0.2222  0.26
Michalowski 1933   67  0.4353  0.0031  0.0726  0.2330  0.3023  0.26
Milkina 1970   60  0.4742  0.0047  0.0461  0.0465  0.0573  0.04
Mohovich 1999   53  0.4943  0.0050  0.0556  0.0542  0.1161  0.07
Moravec 1969   77  0.3346  0.0077  0.0382  0.0373  0.0375  0.03
Morozova 2008   10  0.6447  0.008  0.1223  0.2725  0.2425  0.25
Neighaus 1950   15  0.6154  0.0020  0.0712  0.4639  0.1524  0.26
Niedzielski 1931   66  0.4410  0.0039  0.0541  0.1129  0.2533  0.17
Ohlsson 1999   7  0.6932  0.005  0.135  0.5711  0.446  0.50
Osinska 1989   56  0.4917  0.0064  0.0847  0.0868  0.0462  0.06
Pachmann 1927   71  0.4057  0.0075  0.0466  0.0425  0.2347  0.10
Paderewski 1930   61  0.4776  0.0066  0.0748  0.0735  0.1645  0.11
Perlemuter 1992   62  0.4584  0.0069  0.0558  0.0577  0.0370  0.04
Pierdomenico 2008   81  0.3028  0.0078  0.0384  0.0375  0.0379  0.03
Poblocka 1999   25  0.5758  0.0010  0.1211  0.4720  0.3310  0.39
Rabcewiczowa 1932   69  0.4229  0.0068  0.0650  0.0660  0.0467  0.05
Rachmaninoff 1923   40  0.5385  0.0053  0.0471  0.0446  0.0666  0.05
Rangell 2001   87  0.2635  0.0081  0.0467  0.0444  0.1065  0.06
Richter 1976   64  0.4512  0.0048  0.0553  0.0522  0.3137  0.12
Rosen 1989   52  0.5061  0.0043  0.0539  0.1242  0.1241  0.12
Rosenthal 1930   72  0.3971  0.0073  0.0474  0.0475  0.0381  0.03
Rosenthal 1931   84  0.2966  0.0087  0.0375  0.0388  0.0289  0.02
Rosenthal 1931b   82  0.3075  0.0086  0.0387  0.0377  0.0387  0.03
Rosenthal 1931c   80  0.3120  0.0083  0.0385  0.0383  0.0291  0.02
Rosenthal 1931d   86  0.283  0.0085  0.0388  0.0382  0.0385  0.03
Rossi 2007   88  0.1868  0.0088  0.0386  0.0377  0.0476  0.03
Rubinstein 1939   24  0.5826  0.0022  0.0645  0.0929  0.2935  0.16
Rubinstein 1952   83  0.3086  0.0082  0.0464  0.0462  0.0574  0.04
Rubinstein 1966   13  0.6290  0.0046  0.0557  0.0535  0.2446  0.11
Schilhawsky 1960   17  0.6011  0.0011  0.106  0.5322  0.427  0.47
Shebanova 2002   37  0.5430  0.0030  0.0628  0.2231  0.2626  0.24
Smith 1975   45  0.5144  0.0052  0.0377  0.0375  0.0378  0.03
Sokolov 2002   36  0.5418  0.0033  0.0634  0.1666  0.0452  0.08
Sztompka 1959   32  0.5569  0.0038  0.0543  0.1058  0.0655  0.08
Tomsic 1995   76  0.3815  0.0080  0.0470  0.0477  0.0380  0.03
Uninsky 1932   54  0.4977  0.0034  0.0532  0.1834  0.2330  0.20
Uninsky 1971   39  0.5391  0.0012  0.1113  0.4512  0.478  0.46
Wasowski 1980   35  0.5419  0.0037  0.0537  0.1342  0.0943  0.11
Zak 1937   19  0.5924  0.0023  0.0616  0.3531  0.2417  0.29
Zak 1951   29  0.5648  0.0019  0.0817  0.3434  0.1627  0.23
Average   5  0.716  0.003  0.253  0.6936  0.1912  0.36
Random 1   91  -0.1587  0.0091  0.0191  0.0155  0.0490  0.02
Random 2   89  0.0178  0.0089  0.0389  0.036  0.4839  0.12
Random 3   90  0.0070  0.0090  0.0290  0.0248  0.0583  0.03

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).