Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.4173  0.0048  0.0549  0.0582  0.0357  0.04
Anderszewski 2003   25  0.482  0.072  0.136  0.4941  0.177  0.29
Ashkenazy 1981   48  0.4175  0.0032  0.0731  0.2578  0.0338  0.09
Bacha 2000   52  0.4025  0.0135  0.0539  0.1572  0.0440  0.08
Badura 1965   75  0.2818  0.0153  0.0548  0.0548  0.0750  0.06
Barbosa 1983   87  0.1538  0.0036  0.0541  0.1472  0.0349  0.06
Biret 1990   14  0.5313  0.0225  0.099  0.4343  0.0914  0.20
Blet 2003   67  0.3239  0.0065  0.0366  0.0373  0.0372  0.03
Block 1995   23  0.491  0.231  0.237  0.4710  0.371  0.42
Blumental 1952   72  0.2928  0.0147  0.0546  0.0586  0.0359  0.04
Boshniakovich 1969   13  0.5312  0.0317  0.0812  0.4073  0.0424  0.13
Brailowsky 1960   50  0.4188  0.0045  0.0445  0.0957  0.0447  0.06
Bunin 1987   74  0.2835  0.0081  0.0362  0.0366  0.0560  0.04
Bunin 1987b   76  0.2884  0.0080  0.0365  0.0365  0.0554  0.04
Chiu 1999   77  0.2745  0.0037  0.0536  0.1961  0.0436  0.09
Cohen 1997   89  0.0619  0.0168  0.0382  0.0363  0.0480  0.03
Cortot 1951   39  0.4448  0.0042  0.0540  0.1569  0.0442  0.08
Csalog 1996   44  0.4350  0.0056  0.0454  0.0466  0.0371  0.03
Czerny 1949   65  0.3376  0.0059  0.0458  0.0477  0.0376  0.03
Czerny 1990   54  0.408  0.0434  0.0538  0.1574  0.0344  0.07
Duchoud 2007   16  0.524  0.067  0.1010  0.4125  0.246  0.31
Ezaki 2006   49  0.4115  0.0224  0.0923  0.3483  0.0332  0.10
Falvay 1989   35  0.4560  0.0038  0.0542  0.1437  0.3213  0.21
Farrell 1958   60  0.3647  0.0031  0.0730  0.2644  0.1415  0.19
Ferenczy 1958   69  0.3189  0.0078  0.0378  0.0388  0.0290  0.02
Fliere 1977   53  0.4052  0.0043  0.0644  0.1182  0.0346  0.06
Fou 1978   29  0.4746  0.0023  0.0817  0.3756  0.0426  0.12
Francois 1956   31  0.4636  0.0033  0.0532  0.2258  0.0439  0.09
Friedman 1923   81  0.2468  0.0085  0.0369  0.0386  0.0387  0.03
Friedman 1923b   83  0.2380  0.0084  0.0289  0.0277  0.0481  0.03
Friedman 1930   78  0.2744  0.0083  0.0288  0.0278  0.0388  0.02
Garcia 2007   47  0.4163  0.0058  0.0550  0.0574  0.0358  0.04
Garcia 2007b   32  0.4664  0.0062  0.0376  0.0366  0.0486  0.03
Gierzod 1998   34  0.4577  0.0049  0.0451  0.0485  0.0377  0.03
Gornostaeva 1994   4  0.5881  0.009  0.1015  0.3929  0.209  0.28
Groot 1988   20  0.506  0.044  0.148  0.4531  0.264  0.34
Harasiewicz 1955   43  0.4334  0.008  0.1411  0.4150  0.0617  0.16
Hatto 1993   86  0.1569  0.0088  0.0370  0.0383  0.0383  0.03
Hatto 1997   84  0.1785  0.0086  0.0286  0.0282  0.0389  0.02
Horowitz 1949   36  0.4590  0.0039  0.0537  0.1862  0.0537  0.09
Indjic 1988   85  0.1770  0.0087  0.0385  0.0383  0.0369  0.03
Kapell 1951   8  0.579  0.0415  0.0714  0.4042  0.0916  0.19
Kissin 1993   37  0.4427  0.0146  0.0547  0.0585  0.0356  0.04
Kushner 1989   7  0.577  0.046  0.101  0.5739  0.148  0.28
Luisada 1991   68  0.3249  0.0064  0.0461  0.0487  0.0362  0.03
Lushtak 2004   79  0.2524  0.0154  0.0460  0.0488  0.0279  0.03
Malcuzynski 1961   9  0.5540  0.0018  0.0727  0.2931  0.2011  0.24
Magaloff 1978   57  0.3721  0.0175  0.0375  0.0364  0.0553  0.04
Magin 1975   11  0.5422  0.0113  0.1013  0.4068  0.0423  0.13
Michalowski 1933   18  0.5111  0.0329  0.0833  0.2264  0.0534  0.10
Milkina 1970   1  0.623  0.063  0.152  0.5536  0.195  0.32
Mohovich 1999   3  0.6010  0.045  0.123  0.5144  0.1210  0.25
Moravec 1969   62  0.3533  0.0069  0.0374  0.0369  0.0461  0.03
Morozova 2008   61  0.3531  0.0052  0.0457  0.0478  0.0374  0.03
Neighaus 1950   22  0.5014  0.0230  0.1028  0.2854  0.0625  0.13
Niedzielski 1931   73  0.2972  0.0079  0.0364  0.0387  0.0366  0.03
Ohlsson 1999   21  0.5053  0.0026  0.0924  0.3475  0.0427  0.12
Osinska 1989   24  0.4962  0.0020  0.1020  0.3651  0.0522  0.13
Pachmann 1927   56  0.3871  0.0070  0.0384  0.0340  0.1148  0.06
Paderewski 1930   19  0.505  0.0614  0.0729  0.2732  0.1912  0.23
Perlemuter 1992   63  0.3465  0.0057  0.0453  0.0486  0.0363  0.03
Pierdomenico 2008   2  0.6023  0.0110  0.1316  0.3815  0.412  0.39
Poblocka 1999   40  0.4426  0.0144  0.0643  0.1359  0.0541  0.08
Rabcewiczowa 1932   45  0.4279  0.0061  0.0363  0.0386  0.0367  0.03
Rachmaninoff 1923   59  0.3686  0.0051  0.0455  0.0484  0.0364  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   70  0.3055  0.0067  0.0380  0.0358  0.0555  0.04
Rosen 1989   6  0.5732  0.0021  0.0819  0.3681  0.0335  0.10
Rosenthal 1930   38  0.4482  0.0073  0.0381  0.0358  0.0478  0.03
Rosenthal 1931   28  0.4866  0.0071  0.0373  0.0361  0.0470  0.03
Rosenthal 1931b   30  0.4783  0.0072  0.0372  0.0369  0.0484  0.03
Rosenthal 1931c   41  0.4391  0.0076  0.0377  0.0354  0.0485  0.03
Rosenthal 1931d   33  0.4559  0.0074  0.0383  0.0363  0.0482  0.03
Rossi 2007   64  0.3337  0.0050  0.0452  0.0443  0.1243  0.07
Rubinstein 1939   80  0.2561  0.0077  0.0367  0.0375  0.0465  0.03
Rubinstein 1952   71  0.3054  0.0060  0.0371  0.0344  0.1645  0.07
Rubinstein 1966   66  0.3251  0.0055  0.0459  0.0447  0.0651  0.05
Schilhawsky 1960   82  0.2374  0.0082  0.0368  0.0377  0.0373  0.03
Shebanova 2002   12  0.5357  0.0028  0.0918  0.3759  0.0428  0.12
Smith 1975   17  0.5141  0.0019  0.0726  0.3044  0.0818  0.15
Sokolov 2002   10  0.5578  0.0027  0.1325  0.3367  0.0333  0.10
Sztompka 1959   5  0.5716  0.0112  0.094  0.5171  0.0419  0.14
Tomsic 1995   27  0.4830  0.0011  0.1021  0.3626  0.413  0.38
Uninsky 1932   55  0.3856  0.0063  0.0456  0.0483  0.0375  0.03
Uninsky 1971   58  0.3742  0.0066  0.0379  0.0375  0.0468  0.03
Wasowski 1980   26  0.4817  0.0122  0.0722  0.3564  0.0521  0.13
Zak 1937   42  0.4367  0.0041  0.0735  0.2048  0.0629  0.11
Zak 1951   46  0.4158  0.0040  0.0634  0.2147  0.0630  0.11
Average   15  0.5220  0.0116  0.065  0.4963  0.0420  0.14
Random 1   91  -0.2187  0.0090  0.0190  0.0121  0.2752  0.05
Random 2   90  -0.1543  0.0091  0.0191  0.0172  0.0391  0.02
Random 3   88  0.0829  0.0189  0.0287  0.023  0.5931  0.11

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).