Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.2521  0.0044  0.0544  0.0942  0.1041  0.09
Anderszewski 2003   4  0.5932  0.004  0.2810  0.526  0.546  0.53
Ashkenazy 1981   3  0.6611  0.003  0.453  0.821  0.673  0.74
Bacha 2000   17  0.436  0.0027  0.0636  0.1815  0.4718  0.29
Badura 1965   78  0.2245  0.0065  0.0462  0.0472  0.0472  0.04
Barbosa 1983   37  0.3612  0.0014  0.0919  0.3232  0.3316  0.32
Biret 1990   21  0.392  0.0026  0.0624  0.2939  0.1627  0.22
Blet 2003   9  0.4718  0.0011  0.1113  0.4121  0.3612  0.38
Block 1995   86  0.1559  0.0077  0.0383  0.0380  0.0379  0.03
Blumental 1952   18  0.4346  0.0021  0.1029  0.2417  0.3520  0.29
Boshniakovich 1969   73  0.2547  0.0070  0.0470  0.0475  0.0380  0.03
Brailowsky 1960   68  0.2722  0.0069  0.0371  0.0364  0.0477  0.03
Bunin 1987   24  0.3933  0.0034  0.0623  0.2941  0.1431  0.20
Bunin 1987b   22  0.3960  0.0033  0.0522  0.2942  0.1429  0.20
Chiu 1999   16  0.437  0.0016  0.1216  0.3628  0.3713  0.36
Cohen 1997   64  0.2861  0.0071  0.0379  0.0340  0.1355  0.06
Cortot 1951   75  0.2526  0.0076  0.0375  0.0376  0.0382  0.03
Csalog 1996   74  0.2562  0.0055  0.0463  0.0434  0.2637  0.10
Czerny 1949   84  0.1848  0.0074  0.0469  0.0462  0.0469  0.04
Czerny 1990   33  0.3634  0.0022  0.0718  0.3339  0.1428  0.21
Duchoud 2007   8  0.5513  0.006  0.197  0.536  0.517  0.52
Ezaki 2006   39  0.3535  0.0032  0.0528  0.2553  0.0535  0.11
Falvay 1989   46  0.3349  0.0053  0.0548  0.0548  0.0557  0.05
Farrell 1958   60  0.2863  0.0080  0.0387  0.0388  0.0287  0.02
Ferenczy 1958   69  0.2664  0.0058  0.0458  0.0436  0.1648  0.08
Fliere 1977   15  0.4414  0.0020  0.0817  0.3536  0.1523  0.23
Fou 1978   32  0.3765  0.0051  0.0468  0.0474  0.0464  0.04
Francois 1956   85  0.1766  0.0072  0.0384  0.0357  0.0485  0.03
Friedman 1923   67  0.2750  0.0079  0.0378  0.0347  0.0761  0.05
Friedman 1923b   66  0.2736  0.0078  0.0386  0.0358  0.0573  0.04
Friedman 1930   48  0.3323  0.0037  0.0639  0.1557  0.0447  0.08
Garcia 2007   63  0.2851  0.0068  0.0372  0.0351  0.0670  0.04
Garcia 2007b   42  0.3467  0.0031  0.0531  0.227  0.5114  0.33
Gierzod 1998   23  0.3924  0.0028  0.0727  0.2730  0.1924  0.23
Gornostaeva 1994   80  0.2268  0.0082  0.0381  0.0383  0.0289  0.02
Groot 1988   51  0.3152  0.0054  0.0554  0.0566  0.0374  0.04
Harasiewicz 1955   49  0.3327  0.0029  0.0725  0.2867  0.0343  0.09
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.913  0.002  0.892  0.952  0.932  0.94
Horowitz 1949   41  0.3437  0.0052  0.0552  0.0565  0.0468  0.04
Indjic 1988   1  0.981  0.991  0.981  0.991  0.991  0.99
Kapell 1951   11  0.4738  0.0012  0.128  0.5326  0.409  0.46
Kissin 1993   54  0.3139  0.0045  0.0457  0.0441  0.1846  0.08
Kushner 1989   29  0.3828  0.0041  0.0641  0.1349  0.0544  0.08
Luisada 1991   5  0.5725  0.005  0.264  0.683  0.634  0.65
Lushtak 2004   25  0.3969  0.0039  0.0637  0.1768  0.0449  0.08
Malcuzynski 1961   36  0.3615  0.0046  0.0466  0.0449  0.0566  0.04
Magaloff 1978   58  0.3070  0.0062  0.0551  0.0558  0.0462  0.04
Magin 1975   7  0.5640  0.008  0.326  0.544  0.585  0.56
Michalowski 1933   30  0.3871  0.0015  0.1012  0.4112  0.4211  0.41
Milkina 1970   28  0.3853  0.0047  0.0465  0.0453  0.0565  0.04
Mohovich 1999   57  0.3041  0.0061  0.0550  0.0538  0.1542  0.09
Moravec 1969   56  0.3072  0.0043  0.0442  0.1135  0.1334  0.12
Morozova 2008   13  0.4416  0.0010  0.1215  0.3634  0.1426  0.22
Neighaus 1950   20  0.4273  0.0030  0.0535  0.1865  0.0450  0.08
Niedzielski 1931   62  0.2874  0.0040  0.0640  0.1422  0.2433  0.18
Ohlsson 1999   6  0.578  0.007  0.265  0.569  0.478  0.51
Osinska 1989   81  0.2129  0.0073  0.0380  0.0372  0.0476  0.03
Pachmann 1927   76  0.2454  0.0066  0.0555  0.0543  0.1052  0.07
Paderewski 1930   53  0.3175  0.0060  0.0464  0.0433  0.1845  0.08
Perlemuter 1992   79  0.229  0.0075  0.0385  0.0379  0.0375  0.03
Pierdomenico 2008   55  0.3076  0.0042  0.0543  0.0949  0.0551  0.07
Poblocka 1999   26  0.3955  0.0017  0.0811  0.4231  0.2217  0.30
Rabcewiczowa 1932   83  0.1877  0.0083  0.0373  0.0383  0.0286  0.02
Rachmaninoff 1923   65  0.2778  0.0057  0.0549  0.0573  0.0363  0.04
Rangell 2001   59  0.2979  0.0067  0.0646  0.0640  0.1739  0.10
Richter 1976   31  0.3842  0.0035  0.0532  0.2032  0.2030  0.20
Rosen 1989   47  0.3380  0.0064  0.0745  0.0754  0.0460  0.05
Rosenthal 1930   50  0.314  0.0059  0.0553  0.0553  0.0471  0.04
Rosenthal 1931   70  0.2581  0.0085  0.0374  0.0373  0.0378  0.03
Rosenthal 1931b   72  0.2556  0.0086  0.0461  0.0470  0.0383  0.03
Rosenthal 1931c   61  0.2882  0.0081  0.0376  0.0370  0.0384  0.03
Rosenthal 1931d   82  0.1919  0.0084  0.0377  0.0372  0.0381  0.03
Rossi 2007   90  -0.1383  0.0090  0.0190  0.0189  0.0190  0.01
Rubinstein 1939   19  0.4317  0.0023  0.0730  0.2412  0.4315  0.32
Rubinstein 1952   77  0.2384  0.0063  0.0547  0.0550  0.0756  0.06
Rubinstein 1966   14  0.4420  0.0038  0.0538  0.1629  0.3025  0.22
Schilhawsky 1960   45  0.3357  0.0025  0.0634  0.1937  0.2032  0.19
Shebanova 2002   10  0.4785  0.009  0.189  0.5319  0.4010  0.46
Smith 1975   38  0.3610  0.0019  0.0726  0.2767  0.0436  0.10
Sokolov 2002   12  0.4586  0.0013  0.1221  0.3138  0.2122  0.26
Sztompka 1959   44  0.3358  0.0056  0.0459  0.0447  0.0659  0.05
Tomsic 1995   35  0.365  0.0048  0.0467  0.0450  0.0567  0.04
Uninsky 1932   40  0.3543  0.0036  0.0533  0.2072  0.0440  0.09
Uninsky 1971   34  0.3644  0.0024  0.0614  0.3940  0.2119  0.29
Wasowski 1980   27  0.3830  0.0018  0.0820  0.3231  0.2321  0.27
Zak 1937   43  0.3431  0.0050  0.0460  0.0443  0.0854  0.06
Zak 1951   52  0.3187  0.0049  0.0556  0.0548  0.0658  0.05
Random 1   89  0.0088  0.0089  0.0189  0.0152  0.0488  0.02
Random 2   88  0.0589  0.0087  0.0382  0.0313  0.3538  0.10
Random 3   87  0.0990  0.0088  0.0288  0.0228  0.2753  0.07

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).