Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.345  0.0132  0.0539  0.1149  0.0551  0.07
Anderszewski 2003   4  0.6918  0.003  0.275  0.571  0.613  0.59
Ashkenazy 1981   3  0.7026  0.006  0.224  0.587  0.514  0.54
Bacha 2000   22  0.5041  0.0049  0.0356  0.0327  0.3136  0.10
Badura 1965   84  0.2445  0.0062  0.0371  0.0363  0.0481  0.03
Barbosa 1983   51  0.3751  0.0020  0.0825  0.2936  0.2523  0.27
Biret 1990   8  0.6013  0.007  0.119  0.4712  0.359  0.41
Blet 2003   16  0.5537  0.0024  0.0917  0.3928  0.2318  0.30
Block 1995   88  0.0778  0.0089  0.0288  0.0287  0.0287  0.02
Blumental 1952   32  0.4372  0.0038  0.0633  0.1526  0.2028  0.17
Boshniakovich 1969   83  0.2546  0.0086  0.0287  0.0279  0.0389  0.02
Brailowsky 1960   35  0.4161  0.0048  0.0454  0.0438  0.1350  0.07
Bunin 1987   12  0.5728  0.0016  0.1216  0.3932  0.2616  0.32
Bunin 1987b   11  0.5821  0.0014  0.0815  0.3931  0.2715  0.32
Chiu 1999   48  0.3823  0.0031  0.0529  0.1934  0.2027  0.19
Cohen 1997   69  0.3110  0.0076  0.0279  0.0227  0.2752  0.07
Cortot 1951   45  0.3852  0.0035  0.0443  0.0944  0.1335  0.11
Csalog 1996   64  0.3239  0.0070  0.0366  0.0332  0.2744  0.09
Czerny 1949   70  0.3036  0.0052  0.0449  0.0452  0.0660  0.05
Czerny 1990   46  0.3834  0.0033  0.0530  0.1974  0.0348  0.08
Duchoud 2007   6  0.6748  0.004  0.237  0.5210  0.466  0.49
Ezaki 2006   21  0.509  0.0022  0.0710  0.4536  0.1721  0.28
Falvay 1989   52  0.3716  0.0042  0.0441  0.1042  0.1138  0.10
Farrell 1958   20  0.5083  0.0054  0.0374  0.0360  0.0471  0.03
Ferenczy 1958   27  0.4827  0.0027  0.0826  0.2826  0.3120  0.29
Fliere 1977   24  0.4886  0.0036  0.0434  0.1549  0.0542  0.09
Fou 1978   43  0.3920  0.0046  0.0447  0.0469  0.0465  0.04
Francois 1956   81  0.2760  0.0069  0.0376  0.0360  0.0485  0.03
Friedman 1923   74  0.2964  0.0065  0.0448  0.0450  0.0663  0.05
Friedman 1923b   72  0.3040  0.0064  0.0375  0.0351  0.0668  0.04
Friedman 1930   62  0.3342  0.0037  0.0537  0.1263  0.0546  0.08
Garcia 2007   67  0.3291  0.0055  0.0377  0.0352  0.0567  0.04
Garcia 2007b   80  0.2753  0.0056  0.0369  0.0332  0.1457  0.06
Gierzod 1998   18  0.5384  0.0021  0.0822  0.3528  0.2124  0.27
Gornostaeva 1994   75  0.2950  0.0085  0.0357  0.0380  0.0290  0.02
Groot 1988   66  0.3249  0.0075  0.0372  0.0355  0.0483  0.03
Harasiewicz 1955   82  0.2665  0.0039  0.0432  0.1653  0.0449  0.08
Hatto 1993   2  0.972  0.012  0.842  0.892  0.912  0.90
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   50  0.3866  0.0061  0.0364  0.0358  0.0476  0.03
Indjic 1988   1  0.981  0.881  0.871  0.912  0.941  0.92
Kapell 1951   14  0.5532  0.0013  0.0911  0.4526  0.3610  0.40
Kissin 1993   78  0.2843  0.0078  0.0284  0.0259  0.0478  0.03
Kushner 1989   40  0.4073  0.0063  0.0359  0.0378  0.0372  0.03
Luisada 1991   7  0.6131  0.008  0.1413  0.4112  0.418  0.41
Lushtak 2004   10  0.5858  0.009  0.128  0.5123  0.357  0.42
Malcuzynski 1961   33  0.423  0.0153  0.0368  0.0367  0.0474  0.03
Magaloff 1978   49  0.388  0.0018  0.0731  0.1839  0.1529  0.16
Magin 1975   19  0.5275  0.0017  0.1023  0.3214  0.2817  0.30
Michalowski 1933   65  0.3256  0.0025  0.1019  0.3727  0.3412  0.35
Milkina 1970   42  0.4038  0.0077  0.0367  0.0370  0.0473  0.03
Mohovich 1999   41  0.4067  0.0043  0.0536  0.1238  0.1134  0.11
Moravec 1969   57  0.3424  0.0051  0.0451  0.0432  0.1941  0.09
Morozova 2008   23  0.4930  0.0015  0.0824  0.3136  0.1326  0.20
Neighaus 1950   26  0.486  0.0141  0.0640  0.1162  0.0454  0.07
Niedzielski 1931   86  0.2368  0.0066  0.0370  0.0341  0.1255  0.06
Ohlsson 1999   5  0.6812  0.005  0.206  0.549  0.515  0.52
Osinska 1989   76  0.2814  0.0071  0.0450  0.0459  0.0464  0.04
Pachmann 1927   73  0.3059  0.0044  0.0445  0.0737  0.1931  0.12
Paderewski 1930   61  0.3335  0.0072  0.0453  0.0442  0.1056  0.06
Perlemuter 1992   85  0.2390  0.0079  0.0378  0.0380  0.0369  0.03
Pierdomenico 2008   79  0.2879  0.0068  0.0360  0.0370  0.0370  0.03
Poblocka 1999   15  0.5580  0.0011  0.1312  0.4327  0.2811  0.35
Rabcewiczowa 1932   68  0.3133  0.0057  0.0361  0.0346  0.0758  0.05
Rachmaninoff 1923   44  0.3954  0.0029  0.0828  0.2052  0.0443  0.09
Rangell 2001   55  0.3569  0.0074  0.0281  0.0226  0.2253  0.07
Richter 1976   63  0.3281  0.0067  0.0362  0.0357  0.0477  0.03
Rosen 1989   47  0.3819  0.0073  0.0373  0.0356  0.0482  0.03
Rosenthal 1930   34  0.4255  0.0058  0.0355  0.0365  0.0380  0.03
Rosenthal 1931   60  0.3370  0.0084  0.0365  0.0364  0.0379  0.03
Rosenthal 1931b   58  0.3485  0.0083  0.0283  0.0266  0.0484  0.03
Rosenthal 1931c   54  0.3662  0.0082  0.0286  0.0282  0.0291  0.02
Rosenthal 1931d   71  0.3082  0.0080  0.0280  0.0235  0.1461  0.05
Rossi 2007   91  -0.1587  0.0090  0.0290  0.0287  0.0286  0.02
Rubinstein 1939   25  0.4857  0.0030  0.0642  0.1018  0.4025  0.20
Rubinstein 1952   87  0.2274  0.0081  0.0285  0.0237  0.1462  0.05
Rubinstein 1966   17  0.5325  0.0045  0.0444  0.0735  0.1833  0.11
Schilhawsky 1960   28  0.4629  0.0019  0.0718  0.3834  0.2122  0.28
Shebanova 2002   39  0.4047  0.0050  0.0452  0.0432  0.2439  0.10
Smith 1975   30  0.4571  0.0023  0.0814  0.4052  0.0530  0.14
Sokolov 2002   13  0.5717  0.0012  0.1121  0.3631  0.2814  0.32
Sztompka 1959   38  0.4044  0.0059  0.0446  0.0451  0.0659  0.05
Tomsic 1995   31  0.444  0.0160  0.0363  0.0360  0.0475  0.03
Uninsky 1932   56  0.3488  0.0040  0.0535  0.1344  0.1232  0.12
Uninsky 1971   29  0.4622  0.0026  0.1020  0.3635  0.2319  0.29
Wasowski 1980   37  0.407  0.0028  0.0827  0.2365  0.0437  0.10
Zak 1937   36  0.4063  0.0047  0.0358  0.0348  0.0666  0.04
Zak 1951   53  0.3676  0.0034  0.0538  0.1254  0.0545  0.08
Average   9  0.5911  0.0010  0.173  0.6235  0.1913  0.34
Random 1   90  -0.0577  0.0091  0.0191  0.0167  0.0388  0.02
Random 2   89  0.0289  0.0088  0.0282  0.025  0.4840  0.10
Random 3   77  0.2815  0.0087  0.0289  0.0220  0.2947  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).