Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   81  0.2062  0.0047  0.0447  0.0462  0.0462  0.04
Anderszewski 2003   4  0.6963  0.003  0.315  0.554  0.564  0.55
Ashkenazy 1981   3  0.697  0.004  0.283  0.673  0.563  0.61
Bacha 2000   22  0.4434  0.0045  0.0345  0.0728  0.3029  0.14
Badura 1965   80  0.2047  0.0055  0.0449  0.0446  0.0656  0.05
Barbosa 1983   60  0.2948  0.0026  0.0727  0.2241  0.2220  0.22
Biret 1990   10  0.5135  0.009  0.099  0.4528  0.2410  0.33
Blet 2003   19  0.4515  0.0025  0.0818  0.3537  0.1518  0.23
Block 1995   89  0.0449  0.0085  0.0288  0.0286  0.0289  0.02
Blumental 1952   24  0.4250  0.0035  0.0533  0.1729  0.1728  0.17
Boshniakovich 1969   76  0.2228  0.0084  0.0372  0.0381  0.0377  0.03
Brailowsky 1960   33  0.3664  0.0049  0.0450  0.0435  0.1640  0.08
Bunin 1987   15  0.4618  0.0024  0.0724  0.2850  0.0534  0.12
Bunin 1987b   14  0.4736  0.0019  0.0723  0.2948  0.0533  0.12
Chiu 1999   36  0.3637  0.0031  0.0625  0.2333  0.2119  0.22
Cohen 1997   54  0.3138  0.0071  0.0278  0.0233  0.2346  0.07
Cortot 1951   53  0.3165  0.0057  0.0360  0.0358  0.0564  0.04
Csalog 1996   73  0.2427  0.0046  0.0448  0.0433  0.2736  0.10
Czerny 1949   83  0.1939  0.0069  0.0275  0.0275  0.0388  0.02
Czerny 1990   55  0.3019  0.0038  0.0437  0.1475  0.0352  0.06
Duchoud 2007   6  0.6166  0.005  0.247  0.5219  0.426  0.47
Ezaki 2006   26  0.4120  0.0023  0.0719  0.3340  0.1126  0.19
Falvay 1989   64  0.2811  0.0050  0.0546  0.0579  0.0359  0.04
Farrell 1958   27  0.4167  0.0056  0.0358  0.0384  0.0367  0.03
Ferenczy 1958   37  0.3551  0.0028  0.0634  0.1638  0.1827  0.17
Fliere 1977   23  0.4424  0.0032  0.0526  0.2269  0.0438  0.09
Fou 1978   43  0.3568  0.0067  0.0365  0.0361  0.0560  0.04
Francois 1956   87  0.1452  0.0077  0.0363  0.0383  0.0384  0.03
Friedman 1923   70  0.2753  0.0089  0.0279  0.0276  0.0485  0.03
Friedman 1923b   69  0.2729  0.0088  0.0280  0.0275  0.0479  0.03
Friedman 1930   62  0.294  0.0041  0.0540  0.0945  0.0842  0.08
Garcia 2007   50  0.3269  0.0042  0.0543  0.0962  0.0451  0.06
Garcia 2007b   56  0.3070  0.0036  0.0431  0.1814  0.2524  0.21
Gierzod 1998   13  0.4830  0.0014  0.0815  0.3639  0.1617  0.24
Gornostaeva 1994   79  0.2121  0.0083  0.0284  0.0277  0.0390  0.02
Groot 1988   75  0.2240  0.0076  0.0354  0.0362  0.0481  0.03
Harasiewicz 1955   72  0.2412  0.0040  0.0632  0.1772  0.0347  0.07
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.972  0.002  0.842  0.912  0.892  0.90
Horowitz 1949   41  0.3571  0.0048  0.0356  0.0344  0.0954  0.05
Indjic 1988   1  0.991  0.981  0.971  0.991  0.991  0.99
Kapell 1951   20  0.458  0.0022  0.0711  0.4237  0.2212  0.30
Kissin 1993   74  0.2422  0.0063  0.0367  0.0346  0.0855  0.05
Kushner 1989   34  0.3631  0.0034  0.0539  0.1377  0.0349  0.06
Luisada 1991   7  0.5854  0.007  0.228  0.467  0.447  0.45
Lushtak 2004   12  0.4941  0.0016  0.0716  0.3639  0.1422  0.22
Malcuzynski 1961   38  0.3555  0.0062  0.0361  0.0364  0.0469  0.03
Magaloff 1978   47  0.3372  0.0044  0.0444  0.0866  0.0353  0.05
Magin 1975   8  0.555  0.008  0.2114  0.3610  0.368  0.36
Michalowski 1933   45  0.3442  0.0017  0.0813  0.3729  0.319  0.34
Milkina 1970   35  0.3656  0.0065  0.0357  0.0364  0.0468  0.03
Mohovich 1999   59  0.2923  0.0061  0.0368  0.0378  0.0378  0.03
Moravec 1969   67  0.2873  0.0037  0.0442  0.0929  0.2130  0.14
Morozova 2008   21  0.453  0.0012  0.1422  0.3037  0.1325  0.20
Neighaus 1950   25  0.4174  0.0043  0.0541  0.0978  0.0357  0.05
Niedzielski 1931   82  0.1975  0.0058  0.0366  0.0334  0.1745  0.07
Ohlsson 1999   5  0.6332  0.006  0.286  0.5213  0.465  0.49
Osinska 1989   84  0.1976  0.0068  0.0289  0.0282  0.0387  0.02
Pachmann 1927   77  0.2257  0.0073  0.0374  0.0343  0.1150  0.06
Paderewski 1930   68  0.2743  0.0079  0.0277  0.0253  0.0472  0.03
Perlemuter 1992   85  0.179  0.0081  0.0283  0.0285  0.0386  0.02
Pierdomenico 2008   71  0.2577  0.0054  0.0362  0.0358  0.0465  0.03
Poblocka 1999   16  0.4678  0.0013  0.0910  0.4232  0.2411  0.32
Rabcewiczowa 1932   78  0.2179  0.0080  0.0370  0.0374  0.0366  0.03
Rachmaninoff 1923   52  0.3180  0.0039  0.0538  0.1481  0.0348  0.06
Rangell 2001   48  0.3381  0.0064  0.0373  0.0330  0.2144  0.08
Richter 1976   66  0.2833  0.0059  0.0355  0.0374  0.0371  0.03
Rosen 1989   51  0.3282  0.0070  0.0282  0.0247  0.0476  0.03
Rosenthal 1930   32  0.3744  0.0053  0.0453  0.0480  0.0375  0.03
Rosenthal 1931   46  0.3383  0.0075  0.0369  0.0361  0.0474  0.03
Rosenthal 1931b   42  0.3584  0.0074  0.0371  0.0362  0.0482  0.03
Rosenthal 1931c   49  0.3285  0.0082  0.0364  0.0377  0.0383  0.03
Rosenthal 1931d   65  0.2886  0.0072  0.0276  0.0251  0.0580  0.03
Rossi 2007   91  -0.1887  0.0090  0.0190  0.0188  0.0291  0.01
Rubinstein 1939   17  0.4616  0.0033  0.0530  0.1814  0.4313  0.28
Rubinstein 1952   86  0.1788  0.0066  0.0286  0.0238  0.1458  0.05
Rubinstein 1966   18  0.4625  0.0052  0.0451  0.0439  0.1641  0.08
Schilhawsky 1960   28  0.4058  0.0021  0.0612  0.3738  0.1914  0.27
Shebanova 2002   29  0.3914  0.0029  0.0636  0.1525  0.3221  0.22
Smith 1975   30  0.3859  0.0018  0.0917  0.3566  0.0432  0.12
Sokolov 2002   11  0.5045  0.0011  0.1020  0.3239  0.2115  0.26
Sztompka 1959   57  0.3089  0.0078  0.0287  0.0260  0.0573  0.03
Tomsic 1995   39  0.3560  0.0060  0.0452  0.0469  0.0370  0.03
Uninsky 1932   61  0.2917  0.0051  0.0359  0.0357  0.0561  0.04
Uninsky 1971   31  0.3810  0.0030  0.0821  0.3242  0.1816  0.24
Wasowski 1980   40  0.3546  0.0027  0.0729  0.2146  0.0731  0.12
Zak 1937   44  0.3461  0.0020  0.0735  0.1546  0.0735  0.10
Zak 1951   58  0.3013  0.0015  0.1028  0.2165  0.0439  0.09
Average   9  0.516  0.0010  0.134  0.5645  0.0823  0.21
Random 1   90  0.0026  0.0091  0.0191  0.0132  0.1963  0.04
Random 2   88  0.0690  0.0086  0.0285  0.024  0.4937  0.10
Random 3   63  0.2991  0.0087  0.0281  0.0219  0.3143  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).