Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.3723  0.0025  0.0833  0.2023  0.2528  0.22
Anderszewski 2003   4  0.6042  0.003  0.285  0.551  0.633  0.59
Ashkenazy 1981   3  0.6170  0.004  0.263  0.648  0.544  0.59
Bacha 2000   20  0.4624  0.0043  0.0542  0.0923  0.4030  0.19
Badura 1965   79  0.2356  0.0069  0.0464  0.0455  0.0473  0.04
Barbosa 1983   35  0.3835  0.0021  0.1019  0.3728  0.3816  0.37
Biret 1990   8  0.555  0.019  0.169  0.494  0.635  0.56
Blet 2003   14  0.4918  0.0015  0.0718  0.4324  0.3415  0.38
Block 1995   86  0.1161  0.0083  0.0385  0.0384  0.0288  0.02
Blumental 1952   27  0.4257  0.0027  0.1123  0.3216  0.3521  0.33
Boshniakovich 1969   83  0.2252  0.0082  0.0466  0.0486  0.0283  0.03
Brailowsky 1960   56  0.3362  0.0074  0.0457  0.0439  0.1155  0.07
Bunin 1987   12  0.5013  0.0018  0.1214  0.4521  0.3612  0.40
Bunin 1987b   11  0.5025  0.0017  0.1013  0.4521  0.3711  0.41
Chiu 1999   36  0.3827  0.0029  0.0829  0.2333  0.2427  0.23
Cohen 1997   59  0.3279  0.0066  0.0375  0.0325  0.3242  0.10
Cortot 1951   55  0.3371  0.0040  0.0537  0.1364  0.0461  0.07
Csalog 1996   66  0.3028  0.0067  0.0377  0.0331  0.2845  0.09
Czerny 1949   58  0.3232  0.0045  0.0548  0.0541  0.1351  0.08
Czerny 1990   43  0.3663  0.0042  0.0543  0.0950  0.0659  0.07
Duchoud 2007   6  0.5826  0.005  0.188  0.529  0.498  0.50
Ezaki 2006   18  0.4664  0.0019  0.0810  0.4622  0.3313  0.39
Falvay 1989   29  0.414  0.0139  0.0638  0.1236  0.1437  0.13
Farrell 1958   31  0.4072  0.0037  0.0540  0.1163  0.0456  0.07
Ferenczy 1958   30  0.4143  0.0023  0.0727  0.2620  0.3823  0.31
Fliere 1977   32  0.3958  0.0047  0.0550  0.0566  0.0467  0.04
Fou 1978   33  0.3929  0.0057  0.0463  0.0448  0.0764  0.05
Francois 1956   68  0.2936  0.0051  0.0458  0.0454  0.0476  0.04
Friedman 1923   81  0.2359  0.0086  0.0380  0.0375  0.0487  0.03
Friedman 1923b   80  0.2373  0.0085  0.0382  0.0361  0.0574  0.04
Friedman 1930   60  0.3115  0.0044  0.0444  0.0950  0.0558  0.07
Garcia 2007   85  0.198  0.0084  0.0386  0.0369  0.0382  0.03
Garcia 2007b   76  0.2630  0.0076  0.0467  0.0434  0.2343  0.10
Gierzod 1998   26  0.4265  0.0034  0.0732  0.2024  0.2329  0.21
Gornostaeva 1994   61  0.3149  0.0064  0.0379  0.0373  0.0384  0.03
Groot 1988   53  0.3319  0.0061  0.0459  0.0469  0.0385  0.03
Harasiewicz 1955   67  0.3085  0.0031  0.0724  0.2944  0.1031  0.17
Hatto 1993   2  0.912  0.032  0.882  0.932  0.952  0.94
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   48  0.3433  0.0060  0.0468  0.0445  0.0765  0.05
Indjic 1988   1  0.941  0.901  0.891  0.952  0.961  0.95
Kapell 1951   9  0.5338  0.008  0.177  0.5216  0.459  0.48
Kissin 1993   73  0.2880  0.0065  0.0376  0.0351  0.0671  0.04
Kushner 1989   47  0.3566  0.0073  0.0370  0.0369  0.0479  0.03
Luisada 1991   7  0.5739  0.007  0.184  0.564  0.556  0.55
Lushtak 2004   16  0.4874  0.0020  0.0817  0.4329  0.3017  0.36
Malcuzynski 1961   34  0.3916  0.0056  0.0374  0.0357  0.0480  0.03
Magaloff 1978   52  0.3381  0.0033  0.0639  0.1137  0.1735  0.14
Magin 1975   15  0.4882  0.0011  0.1021  0.3416  0.3618  0.35
Michalowski 1933   69  0.2917  0.0026  0.0820  0.3637  0.2424  0.29
Milkina 1970   28  0.417  0.0050  0.0553  0.0544  0.1247  0.08
Mohovich 1999   44  0.3612  0.0038  0.0541  0.1031  0.2433  0.15
Moravec 1969   50  0.3411  0.0052  0.0549  0.0544  0.0862  0.06
Morozova 2008   23  0.4650  0.0013  0.1422  0.3446  0.0636  0.14
Neighaus 1950   21  0.463  0.0130  0.0830  0.2253  0.0639  0.11
Niedzielski 1931   82  0.2275  0.0077  0.0371  0.0358  0.0478  0.03
Ohlsson 1999   5  0.5941  0.006  0.226  0.547  0.497  0.51
Osinska 1989   70  0.2944  0.0062  0.0372  0.0358  0.0568  0.04
Pachmann 1927   78  0.2567  0.0063  0.0378  0.0336  0.1857  0.07
Paderewski 1930   64  0.3054  0.0070  0.0551  0.0538  0.1449  0.08
Perlemuter 1992   84  0.2083  0.0081  0.0384  0.0372  0.0377  0.03
Pierdomenico 2008   71  0.2886  0.0071  0.0469  0.0444  0.1063  0.06
Poblocka 1999   22  0.4645  0.0022  0.1415  0.4427  0.2519  0.33
Rabcewiczowa 1932   57  0.3276  0.0046  0.0552  0.0533  0.2240  0.10
Rachmaninoff 1923   51  0.3353  0.0035  0.0635  0.1345  0.0644  0.09
Rangell 2001   63  0.3168  0.0068  0.0465  0.0432  0.2146  0.09
Richter 1976   65  0.3051  0.0072  0.0373  0.0361  0.0481  0.03
Rosen 1989   40  0.3710  0.0058  0.0461  0.0438  0.1652  0.08
Rosenthal 1930   42  0.3737  0.0049  0.0745  0.0759  0.0466  0.05
Rosenthal 1931   74  0.2877  0.0080  0.0554  0.0562  0.0372  0.04
Rosenthal 1931b   72  0.2887  0.0079  0.0383  0.0351  0.0575  0.04
Rosenthal 1931c   62  0.3160  0.0078  0.0387  0.0366  0.0386  0.03
Rosenthal 1931d   77  0.2531  0.0075  0.0555  0.0539  0.1060  0.07
Rossi 2007   90  -0.1188  0.0089  0.0189  0.0186  0.0290  0.01
Rubinstein 1939   17  0.4722  0.0014  0.0828  0.2415  0.4222  0.32
Rubinstein 1952   75  0.2755  0.0059  0.0456  0.0437  0.1654  0.08
Rubinstein 1966   13  0.5046  0.0032  0.0831  0.2023  0.3725  0.27
Schilhawsky 1960   39  0.3734  0.0024  0.1125  0.2932  0.2426  0.26
Shebanova 2002   38  0.3820  0.0053  0.0462  0.0435  0.2541  0.10
Smith 1975   24  0.4547  0.0012  0.1011  0.4632  0.2320  0.33
Sokolov 2002   10  0.539  0.0010  0.1516  0.4428  0.3514  0.39
Sztompka 1959   45  0.3640  0.0048  0.0547  0.0567  0.0470  0.04
Tomsic 1995   25  0.436  0.0136  0.0536  0.1337  0.1832  0.15
Uninsky 1932   49  0.3489  0.0041  0.0534  0.1567  0.0450  0.08
Uninsky 1971   19  0.4614  0.0016  0.0712  0.4623  0.4210  0.44
Wasowski 1980   37  0.3821  0.0028  0.1026  0.2747  0.0734  0.14
Zak 1937   46  0.3678  0.0055  0.0460  0.0463  0.0569  0.04
Zak 1951   54  0.3390  0.0054  0.0646  0.0644  0.1248  0.08
Random 1   89  -0.0269  0.0090  0.0190  0.0164  0.0389  0.02
Random 2   88  0.0748  0.0087  0.0381  0.031  0.4838  0.12
Random 3   87  0.1084  0.0088  0.0288  0.0216  0.3553  0.08

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).