Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.6250  0.0037  0.0437  0.1251  0.0546  0.08
Anderszewski 2003   18  0.6612  0.0230  0.0424  0.2256  0.0442  0.09
Ashkenazy 1981   16  0.6741  0.0019  0.0719  0.3056  0.0437  0.11
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   62  0.5291  0.0077  0.0383  0.0371  0.0487  0.03
Barbosa 1983   43  0.604  0.084  0.118  0.433  0.522  0.47
Biret 1990   1  0.749  0.0310  0.1112  0.4023  0.3010  0.35
Blet 2003   53  0.5559  0.0059  0.0646  0.0661  0.0560  0.05
Block 1995   70  0.4539  0.0036  0.0541  0.1045  0.0747  0.08
Blumental 1952   7  0.728  0.047  0.102  0.5410  0.296  0.40
Boshniakovich 1969   74  0.4470  0.0080  0.0470  0.0482  0.0388  0.03
Brailowsky 1960   3  0.7415  0.0217  0.1018  0.3011  0.439  0.36
Bunin 1987   86  0.3173  0.0086  0.0388  0.0360  0.0574  0.04
Bunin 1987b   87  0.2938  0.0087  0.0468  0.0466  0.0467  0.04
Chiu 1999   4  0.7310  0.038  0.144  0.489  0.403  0.44
Cohen 1997   13  0.6722  0.0125  0.0632  0.152  0.5115  0.28
Cortot 1951   52  0.5586  0.0062  0.0471  0.0474  0.0475  0.04
Csalog 1996   73  0.4427  0.0121  0.0633  0.1421  0.3319  0.21
Czerny 1949   61  0.5365  0.0065  0.0375  0.0370  0.0485  0.03
Czerny 1990   12  0.6734  0.0013  0.159  0.4229  0.2312  0.31
Duchoud 2007   55  0.5424  0.0146  0.0462  0.0429  0.2243  0.09
Ezaki 2006   8  0.6921  0.0116  0.0911  0.4030  0.2313  0.30
Falvay 1989   50  0.5726  0.0163  0.0380  0.0329  0.4233  0.11
Farrell 1958   14  0.673  0.115  0.1113  0.3935  0.2214  0.29
Ferenczy 1958   37  0.617  0.049  0.0915  0.3512  0.408  0.37
Fliere 1977   41  0.6054  0.0032  0.0526  0.2053  0.0539  0.10
Fou 1978   10  0.6831  0.0024  0.0621  0.2776  0.0440  0.10
Francois 1956   22  0.6425  0.0139  0.0436  0.1325  0.3021  0.20
Friedman 1923   23  0.6449  0.0047  0.0461  0.0446  0.0856  0.06
Friedman 1923b   28  0.6356  0.0050  0.0463  0.0448  0.0763  0.05
Friedman 1930   42  0.6087  0.0066  0.0374  0.0353  0.0671  0.04
Garcia 2007   45  0.5943  0.0056  0.0469  0.0462  0.0472  0.04
Garcia 2007b   26  0.6337  0.0022  0.0616  0.3475  0.0432  0.12
Gierzod 1998   58  0.5423  0.0135  0.0634  0.1472  0.0454  0.07
Gornostaeva 1994   48  0.5871  0.0034  0.0630  0.1535  0.1526  0.15
Groot 1988   39  0.6017  0.0118  0.0728  0.1844  0.1724  0.17
Harasiewicz 1955   49  0.5788  0.0068  0.0373  0.0367  0.0489  0.03
Hatto 1993   40  0.6030  0.0044  0.0542  0.1054  0.0650  0.08
Hatto 1997   31  0.6266  0.0052  0.0648  0.0653  0.0561  0.05
Horowitz 1949   77  0.4185  0.0084  0.0378  0.0375  0.0479  0.03
Indjic 1988   30  0.6257  0.0051  0.0456  0.0454  0.0659  0.05
Kapell 1951   60  0.5367  0.0015  0.1117  0.3364  0.0434  0.11
Kissin 1993   75  0.4368  0.0079  0.0459  0.0477  0.0383  0.03
Kushner 1989   38  0.6178  0.0033  0.0629  0.1668  0.0444  0.08
Luisada 1991   20  0.6519  0.0114  0.1210  0.4137  0.1616  0.26
Lushtak 2004   35  0.6163  0.0061  0.0549  0.0560  0.0473  0.04
Malcuzynski 1961   85  0.3416  0.0183  0.0382  0.0385  0.0378  0.03
Magaloff 1978   32  0.6228  0.0145  0.0444  0.0833  0.2229  0.13
Magin 1975   67  0.4774  0.0049  0.0555  0.0563  0.0466  0.04
Michalowski 1933   66  0.4758  0.0074  0.0385  0.0373  0.0482  0.03
Milkina 1970   9  0.6811  0.0212  0.157  0.4424  0.337  0.38
Mohovich 1999   5  0.736  0.046  0.123  0.5213  0.481  0.50
Moravec 1969   54  0.5546  0.0057  0.0458  0.0413  0.4927  0.14
Morozova 2008   64  0.5076  0.0067  0.0377  0.0356  0.0484  0.03
Neighaus 1950   24  0.6360  0.0042  0.0543  0.0949  0.0655  0.07
Niedzielski 1931   57  0.5479  0.0031  0.0427  0.1939  0.1523  0.17
Ohlsson 1999   21  0.6520  0.0128  0.0625  0.2146  0.0635  0.11
Osinska 1989   17  0.6689  0.0011  0.1114  0.3841  0.1517  0.24
Pachmann 1927   68  0.4680  0.0085  0.0465  0.0466  0.0381  0.03
Paderewski 1930   47  0.5932  0.0069  0.0467  0.0451  0.0469  0.04
Perlemuter 1992   33  0.6264  0.0058  0.0552  0.0579  0.0364  0.04
Pierdomenico 2008   76  0.415  0.0629  0.0545  0.0854  0.0653  0.07
Poblocka 1999   84  0.3540  0.0060  0.0647  0.0653  0.0557  0.05
Rabcewiczowa 1932   29  0.6272  0.0040  0.0535  0.1341  0.1130  0.12
Rachmaninoff 1923   27  0.6351  0.0048  0.0464  0.0461  0.0465  0.04
Rangell 2001   79  0.4081  0.0075  0.0472  0.0439  0.1548  0.08
Richter 1976   88  0.1752  0.0088  0.0384  0.0380  0.0380  0.03
Rosen 1989   15  0.672  0.132  0.185  0.4717  0.405  0.43
Rosenthal 1930   82  0.3661  0.0081  0.0460  0.0480  0.0386  0.03
Rosenthal 1931   72  0.4569  0.0070  0.0554  0.0527  0.2731  0.12
Rosenthal 1931b   71  0.4545  0.0073  0.0551  0.0527  0.2338  0.11
Rosenthal 1931c   78  0.4155  0.0076  0.0387  0.0335  0.1951  0.08
Rosenthal 1931d   69  0.4647  0.0072  0.0386  0.0327  0.2449  0.08
Rossi 2007   6  0.7214  0.0220  0.0723  0.2310  0.5011  0.34
Rubinstein 1939   36  0.6118  0.0138  0.0439  0.1123  0.3022  0.18
Rubinstein 1952   65  0.4853  0.0043  0.0440  0.1023  0.4120  0.20
Rubinstein 1966   11  0.6733  0.0027  0.0531  0.1521  0.3718  0.24
Schilhawsky 1960   81  0.3877  0.0082  0.0466  0.0476  0.0470  0.04
Shebanova 2002   44  0.6084  0.0026  0.0622  0.2650  0.0536  0.11
Smith 1975   25  0.6313  0.023  0.126  0.459  0.414  0.43
Sokolov 2002   59  0.5435  0.0064  0.0376  0.0361  0.0376  0.03
Sztompka 1959   19  0.6690  0.0023  0.0620  0.2847  0.0728  0.14
Tomsic 1995   80  0.4082  0.0078  0.0381  0.0336  0.2245  0.08
Uninsky 1932   63  0.5162  0.0053  0.0550  0.0554  0.0662  0.05
Uninsky 1971   83  0.3644  0.0071  0.0379  0.0348  0.0758  0.05
Wasowski 1980   46  0.5983  0.0041  0.0538  0.1161  0.0552  0.07
Zak 1937   51  0.5629  0.0154  0.0457  0.0475  0.0377  0.03
Zak 1951   56  0.5448  0.0055  0.0553  0.0576  0.0368  0.04
Average   2  0.741  0.161  0.161  0.5955  0.0425  0.15
Random 1   91  -0.3275  0.0091  0.0191  0.0174  0.0391  0.02
Random 2   90  -0.0536  0.0090  0.0290  0.0278  0.0390  0.02
Random 3   89  0.0042  0.0089  0.0289  0.029  0.4841  0.10

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).