Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.3162  0.0066  0.0479  0.0464  0.0479  0.04
Anderszewski 2003   79  0.1752  0.0079  0.0562  0.0576  0.0376  0.04
Ashkenazy 1981   13  0.5945  0.0016  0.1515  0.7411  0.7915  0.76
Bacha 2000   80  0.1686  0.0078  0.0653  0.0667  0.0470  0.05
Badura 1965   51  0.3466  0.0062  0.0482  0.0428  0.4155  0.13
Barbosa 1983   54  0.3330  0.0057  0.0474  0.0444  0.1067  0.06
Biret 1990   81  0.1587  0.0084  0.0385  0.0373  0.0486  0.03
Blet 2003   22  0.5437  0.0032  0.0929  0.534  0.7130  0.61
Block 1995   12  0.6040  0.009  0.189  0.802  0.8111  0.80
Blumental 1952   61  0.3244  0.0055  0.0475  0.0431  0.3059  0.11
Boshniakovich 1969   19  0.5417  0.0014  0.1816  0.727  0.6920  0.70
Brailowsky 1960   68  0.2846  0.0064  0.0477  0.0430  0.4053  0.13
Bunin 1987   42  0.4347  0.0027  0.1041  0.4017  0.5338  0.46
Bunin 1987b   41  0.4322  0.0026  0.1140  0.4116  0.5337  0.47
Chiu 1999   14  0.5856  0.0020  0.1419  0.695  0.7319  0.71
Cohen 1997   71  0.2574  0.0072  0.0557  0.0563  0.0480  0.04
Cortot 1951   63  0.3159  0.0063  0.0567  0.0529  0.4152  0.14
Csalog 1996   35  0.4753  0.0044  0.1444  0.309  0.6143  0.43
Czerny 1949   88  -0.0175  0.0088  0.0188  0.0188  0.0290  0.01
Czerny 1990   23  0.539  0.0117  0.1621  0.657  0.8318  0.73
Duchoud 2007   43  0.4257  0.0040  0.1336  0.458  0.6035  0.52
Ezaki 2006   70  0.2520  0.0070  0.0560  0.0546  0.1062  0.07
Falvay 1989   77  0.2276  0.0073  0.0481  0.0476  0.0384  0.03
Farrell 1958   73  0.2377  0.0076  0.0558  0.0560  0.0571  0.05
Ferenczy 1958   90  -0.0978  0.0090  0.0190  0.0178  0.0388  0.02
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   26  0.5254  0.0024  0.1324  0.614  0.6825  0.64
Francois 1956   78  0.2088  0.0080  0.0473  0.0465  0.0483  0.04
Friedman 1923   4  0.677  0.035  0.225  0.843  0.875  0.85
Friedman 1923b   3  0.684  0.054  0.224  0.843  0.874  0.85
Friedman 1930   9  0.6128  0.0011  0.1510  0.795  0.8310  0.81
Garcia 2007   40  0.4318  0.0031  0.1128  0.584  0.6828  0.63
Garcia 2007b   44  0.4035  0.0047  0.1146  0.1117  0.5946  0.25
Gierzod 1998   75  0.2241  0.0059  0.0476  0.0435  0.2660  0.10
Gornostaeva 1994   57  0.3331  0.0069  0.0564  0.0550  0.0769  0.06
Groot 1988   10  0.6164  0.0013  0.1612  0.775  0.7713  0.77
Harasiewicz 1955   27  0.5126  0.0038  0.1137  0.4519  0.4641  0.45
Hatto 1993   39  0.4524  0.0041  0.1632  0.4926  0.4339  0.46
Hatto 1997   72  0.2479  0.0075  0.0561  0.0576  0.0378  0.04
Horowitz 1949   38  0.4633  0.0042  0.1242  0.3522  0.5542  0.44
Indjic 1988   46  0.4013  0.0046  0.1047  0.1034  0.3148  0.18
Kapell 1951   48  0.3880  0.0045  0.1045  0.1926  0.3445  0.25
Kissin 1993   20  0.5421  0.0019  0.1417  0.725  0.8212  0.77
Kushner 1989   25  0.5219  0.0025  0.1126  0.607  0.7024  0.65
Luisada 1991   21  0.5429  0.0030  0.1127  0.5911  0.6826  0.63
Lushtak 2004   66  0.3065  0.0065  0.0471  0.0434  0.1861  0.08
Malcuzynski 1961   28  0.5134  0.0034  0.0933  0.489  0.6233  0.55
Magaloff 1978   8  0.633  0.056  0.248  0.812  0.846  0.82
Magin 1975   34  0.4938  0.0033  0.1030  0.5112  0.7329  0.61
Michalowski 1933   30  0.5016  0.0037  0.1239  0.4314  0.5336  0.48
Milkina 1970   86  0.0463  0.0086  0.0386  0.0385  0.0287  0.02
Mohovich 1999   60  0.3242  0.0058  0.0478  0.0448  0.0868  0.06
Moravec 1969   53  0.3455  0.0052  0.0751  0.0753  0.0564  0.06
Morozova 2008   33  0.4939  0.0021  0.1423  0.634  0.7122  0.67
Neighaus 1950   37  0.4648  0.0035  0.1034  0.4819  0.4240  0.45
Niedzielski 1931   31  0.4949  0.0028  0.1225  0.619  0.6527  0.63
Ohlsson 1999   18  0.5515  0.0022  0.1320  0.665  0.6723  0.66
Osinska 1989   47  0.3911  0.0148  0.0948  0.0924  0.5247  0.22
Pachmann 1927   11  0.6112  0.0015  0.2211  0.782  0.859  0.81
Paderewski 1930   24  0.5360  0.0023  0.1522  0.655  0.7421  0.69
Perlemuter 1992   5  0.668  0.027  0.366  0.831  0.882  0.85
Pierdomenico 2008   32  0.4927  0.0039  0.1138  0.446  0.6832  0.55
Poblocka 1999   17  0.566  0.0310  0.1418  0.692  0.8016  0.74
Rabcewiczowa 1932   82  0.1471  0.0085  0.0383  0.0372  0.0385  0.03
Rachmaninoff 1923   36  0.4614  0.0029  0.0935  0.4715  0.6831  0.57
Rangell 2001   45  0.4025  0.0043  0.1243  0.3210  0.5244  0.41
Richter 1976   2  0.712  0.152  0.422  0.862  0.891  0.87
Rosen 1989   15  0.5823  0.0012  0.1413  0.763  0.7614  0.76
Rosenthal 1930   59  0.3350  0.0067  0.0468  0.0435  0.3557  0.12
Rosenthal 1931   84  0.0861  0.0082  0.0480  0.0465  0.0475  0.04
Rosenthal 1931b   83  0.0967  0.0081  0.0387  0.0357  0.0582  0.04
Rosenthal 1931c   69  0.2736  0.0060  0.0472  0.0429  0.4456  0.13
Rosenthal 1931d   85  0.0569  0.0083  0.0565  0.0562  0.0381  0.04
Rossi 2007   74  0.2272  0.0071  0.0566  0.0517  0.4350  0.15
Rubinstein 1939   76  0.2270  0.0074  0.0654  0.0657  0.0665  0.06
Rubinstein 1952   50  0.3543  0.0051  0.0850  0.0834  0.2851  0.15
Rubinstein 1966   58  0.3373  0.0056  0.0559  0.0570  0.0477  0.04
Schilhawsky 1960   55  0.3389  0.0054  0.0563  0.0530  0.3454  0.13
Shebanova 2002   6  0.655  0.043  0.313  0.854  0.863  0.85
Smith 1975   67  0.2868  0.0077  0.0556  0.0568  0.0473  0.04
Sokolov 2002   49  0.3758  0.0049  0.0949  0.0934  0.2949  0.16
Sztompka 1959   7  0.6510  0.018  0.157  0.822  0.837  0.82
Tomsic 1995   65  0.3081  0.0061  0.0470  0.0466  0.0474  0.04
Uninsky 1932   16  0.5632  0.0018  0.1814  0.757  0.7317  0.74
Uninsky 1971   56  0.3382  0.0050  0.0652  0.0649  0.0766  0.06
Wasowski 1980   29  0.5051  0.0036  0.1031  0.5019  0.5734  0.53
Zak 1937   52  0.3490  0.0053  0.0655  0.0639  0.1958  0.11
Zak 1951   64  0.3083  0.0068  0.0469  0.0449  0.0672  0.05
Average   1  0.741  0.531  0.531  0.913  0.748  0.82
Random 1   87  0.0284  0.0087  0.0384  0.0337  0.1863  0.07
Random 2   91  -0.0991  0.0091  0.0191  0.0189  0.0191  0.01
Random 3   89  -0.0285  0.0089  0.0189  0.0168  0.0389  0.02

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).