Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7447  0.007  0.269  0.652  0.6910  0.67
Anderszewski 2003   30  0.6721  0.0030  0.0930  0.418  0.5830  0.49
Ashkenazy 1981   42  0.6127  0.0047  0.0748  0.0717  0.4352  0.17
Bacha 2000   82  0.4764  0.0077  0.0377  0.0335  0.1885  0.07
Badura 1965   44  0.6183  0.0041  0.0740  0.213  0.6339  0.36
Barbosa 1983   66  0.546  0.0150  0.0654  0.0623  0.4651  0.17
Biret 1990   40  0.6222  0.0039  0.0838  0.2216  0.4441  0.31
Blet 2003   54  0.5762  0.0067  0.0460  0.0413  0.4265  0.13
Block 1995   78  0.5044  0.0051  0.0652  0.0624  0.3261  0.14
Blumental 1952   57  0.5620  0.0040  0.0742  0.1724  0.2845  0.22
Boshniakovich 1969   8  0.753  0.052  0.1815  0.602  0.7411  0.67
Brailowsky 1960   79  0.5056  0.0079  0.0385  0.0340  0.2381  0.08
Bunin 1987   81  0.4852  0.0082  0.0473  0.0429  0.3573  0.12
Bunin 1987b   85  0.4673  0.0081  0.0386  0.0329  0.3775  0.11
Chiu 1999   71  0.5258  0.0064  0.0381  0.0325  0.2779  0.09
Cohen 1997   88  0.3765  0.0088  0.0465  0.0441  0.1186  0.07
Cortot 1951   87  0.4584  0.0087  0.0471  0.0452  0.0589  0.04
Csalog 1996   70  0.5277  0.0066  0.0467  0.0413  0.4464  0.13
Czerny 1949   6  0.768  0.018  0.178  0.655  0.709  0.67
Czerny 1990   7  0.7516  0.009  0.1010  0.633  0.767  0.69
Duchoud 2007   72  0.5282  0.0073  0.0472  0.0410  0.4566  0.13
Ezaki 2006   28  0.6772  0.0035  0.1035  0.3513  0.5932  0.45
Falvay 1989   56  0.5759  0.0072  0.0376  0.0342  0.1982  0.08
Farrell 1958   62  0.5532  0.0054  0.0649  0.0630  0.3754  0.15
Ferenczy 1958   64  0.5470  0.0074  0.0383  0.0326  0.3776  0.11
Fliere 1977   3  0.7941  0.004  0.213  0.772  0.754  0.76
Fou 1978   32  0.6548  0.0031  0.0933  0.379  0.5534  0.45
Francois 1956   53  0.5854  0.0062  0.0464  0.048  0.6055  0.15
Friedman 1923   58  0.5630  0.0060  0.0462  0.0425  0.4268  0.13
Friedman 1923b   55  0.5735  0.0056  0.0746  0.0723  0.4648  0.18
Friedman 1930   45  0.6078  0.0046  0.0651  0.0612  0.5347  0.18
Garcia 2007   50  0.5866  0.0058  0.0558  0.0510  0.5353  0.16
Garcia 2007b   47  0.5960  0.0048  0.0747  0.0718  0.4946  0.19
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   27  0.6823  0.0033  0.0927  0.442  0.7424  0.57
Groot 1988   77  0.5039  0.0057  0.0557  0.0542  0.1187  0.07
Harasiewicz 1955   11  0.7311  0.0110  0.126  0.673  0.746  0.70
Hatto 1993   23  0.7017  0.0013  0.1714  0.614  0.6219  0.61
Hatto 1997   21  0.7018  0.0014  0.1816  0.604  0.6416  0.62
Horowitz 1949   69  0.5274  0.0068  0.0461  0.0422  0.4659  0.14
Indjic 1988   17  0.7119  0.0012  0.1413  0.614  0.6415  0.62
Kapell 1951   33  0.6549  0.0038  0.1134  0.3622  0.3638  0.36
Kissin 1993   2  0.7926  0.003  0.252  0.792  0.832  0.81
Kushner 1989   15  0.7110  0.0125  0.1123  0.527  0.6420  0.58
Luisada 1991   26  0.6842  0.0027  0.1226  0.466  0.6426  0.54
Lushtak 2004   39  0.6257  0.0042  0.0645  0.1511  0.5444  0.28
Malcuzynski 1961   49  0.5945  0.0052  0.0655  0.0614  0.4649  0.17
Magaloff 1978   37  0.6334  0.0045  0.0844  0.152  0.6440  0.31
Magin 1975   13  0.7137  0.0015  0.1511  0.612  0.6714  0.64
Michalowski 1933   74  0.5175  0.0065  0.0474  0.0417  0.4563  0.13
Milkina 1970   12  0.729  0.0119  0.1812  0.613  0.7112  0.66
Mohovich 1999   38  0.6328  0.0043  0.0641  0.1720  0.5342  0.30
Moravec 1969   73  0.5150  0.0080  0.0384  0.0327  0.3378  0.10
Morozova 2008   36  0.6367  0.0036  0.0837  0.2810  0.5136  0.38
Neighaus 1950   25  0.6836  0.0026  0.1225  0.464  0.6925  0.56
Niedzielski 1931   46  0.6063  0.0029  0.1132  0.373  0.5533  0.45
Ohlsson 1999   19  0.7185  0.0017  0.1717  0.593  0.7113  0.65
Osinska 1989   4  0.782  0.086  0.244  0.752  0.803  0.77
Pachmann 1927   67  0.5340  0.0083  0.0382  0.036  0.5172  0.12
Paderewski 1930   80  0.4871  0.0075  0.0380  0.0321  0.4571  0.12
Perlemuter 1992   51  0.5855  0.0059  0.0466  0.0418  0.4562  0.13
Pierdomenico 2008   59  0.5633  0.0069  0.0459  0.048  0.5256  0.14
Poblocka 1999   18  0.7112  0.0016  0.1518  0.562  0.6717  0.61
Rabcewiczowa 1932   60  0.5638  0.0049  0.0653  0.0618  0.3557  0.14
Rachmaninoff 1923   41  0.6176  0.0032  0.0936  0.3311  0.5335  0.42
Rangell 2001   75  0.5143  0.0076  0.0378  0.0324  0.3977  0.11
Richter 1976   48  0.5953  0.0055  0.0650  0.0620  0.5150  0.17
Rosen 1989   16  0.7115  0.0020  0.2119  0.544  0.6818  0.61
Rosenthal 1930   63  0.5551  0.0070  0.0468  0.0421  0.4960  0.14
Rosenthal 1931   83  0.4786  0.0084  0.0287  0.0227  0.2983  0.08
Rosenthal 1931b   84  0.4787  0.0086  0.0379  0.0330  0.2880  0.09
Rosenthal 1931c   68  0.5368  0.0071  0.0375  0.0318  0.5174  0.12
Rosenthal 1931d   86  0.4588  0.0085  0.0288  0.0231  0.3184  0.08
Rossi 2007   76  0.5129  0.0078  0.0463  0.0421  0.3669  0.12
Rubinstein 1939   52  0.5889  0.0061  0.0470  0.0424  0.3770  0.12
Rubinstein 1952   61  0.5569  0.0053  0.0556  0.0528  0.3667  0.13
Rubinstein 1966   35  0.6514  0.0044  0.0743  0.1619  0.5043  0.28
Schilhawsky 1960   22  0.7024  0.0024  0.1124  0.476  0.6127  0.54
Shebanova 2002   5  0.764  0.035  0.255  0.712  0.745  0.72
Smith 1975   31  0.6779  0.0037  0.0839  0.224  0.6137  0.37
Sokolov 2002   34  0.657  0.0128  0.1128  0.422  0.6628  0.53
Sztompka 1959   10  0.7331  0.0011  0.147  0.653  0.708  0.67
Tomsic 1995   65  0.5446  0.0063  0.0469  0.0418  0.5058  0.14
Uninsky 1932   43  0.6125  0.0023  0.1031  0.388  0.5731  0.47
Uninsky 1971   24  0.695  0.0218  0.1820  0.549  0.6221  0.58
Wasowski 1980   29  0.6780  0.0034  0.1129  0.414  0.6129  0.50
Zak 1937   14  0.7161  0.0022  0.1522  0.527  0.6322  0.57
Zak 1951   20  0.7113  0.0021  0.1321  0.526  0.6323  0.57
Average   1  0.851  0.681  0.681  0.911  0.801  0.85
Random 1   91  -0.0981  0.0091  0.0191  0.0159  0.0390  0.02
Random 2   89  -0.0290  0.0089  0.0289  0.0231  0.2188  0.06
Random 3   90  -0.0891  0.0090  0.0190  0.0172  0.0491  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).